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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. -->
# all_6417_bart-base
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-base", "model-index": [{"name": "all_6417_bart-base", "results": []}]} | baek26/all_6417_bart-base | null | [
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#transformers #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| all\_6417\_bart-base
====================
This model is a fine-tuned version of facebook/bart-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0206
* Rouge1: 0.2426
* Rouge2: 0.1209
* Rougel: 0.2027
* Rougelsum: 0.2266
* Gen Len: 19.9945
Model description
--------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 20\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 512\n* optimizer: Adam with betas=(0.9,0.999) and epsil... | [
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - AasthaKumar0310/aastha_sd
<Gallery />
## Model description
These are AasthaKumar0310/aastha_sd LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text encoder was enabl... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A photo of Madhuri Dixit wearing casual clothes, taking a selfie, and smiling."... | AasthaKumar0310/aastha_sd | null | [
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"license:openrail++",
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|
# AutoTrain SDXL LoRA DreamBooth - AasthaKumar0310/aastha_sd
<Gallery />
## Model description
These are AasthaKumar0310/aastha_sd LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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Special VAE used for ... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Llama-2-13b-chat-hf - bnb 8bits
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingface.co... | {} | RichardErkhov/meta-llama_-_Llama-2-13b-chat-hf-8bits | null | [
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"2307.09288"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-2307.09288 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Llama-2-13b-chat-hf - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
extra\_gated\_heading: You need to share contact information with Meta to access this model
extra\_gate... | [
"### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\n\n\"Agreement\" means the terms and conditions for use, reproduction, distribution\nand modification of the Llama Materials set forth herein.\n\n\n\"Documentation\" means the specifications, manuals and documentation\naccompanying Llama 2 distributed by Meta at\nURL\n\n\n... | [
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null | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_1_help_class_adp_lr_0003_S_0` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a p... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_par_bn_v_1_help_class_adp_lr_0003_S_0 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_MICRO_helpfulness_dataset",
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/micro_par_bn_v_1_help_class_adp_lr_0003_S_0' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | EdwinWiseOne/ppo-LunarLander-v2-eww | null | [
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"deep-reinforcement-learning",
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Llama-2-70b-hf - bnb 4bits
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingface.co/meta... | {} | RichardErkhov/meta-llama_-_Llama-2-70b-hf-4bits | null | [
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"safetensors",
"llama",
"text-generation",
"arxiv:2307.09288",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-20T15:27:29+00:00 | [
"2307.09288"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-2307.09288 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Llama-2-70b-hf - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
extra\_gated\_heading: You need to share contact information with Meta to access this model
extra\_gated\_pr... | [
"### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\n\n\"Agreement\" means the terms and conditions for use, reproduction, distribution\nand modification of the Llama Materials set forth herein.\n\n\n\"Documentation\" means the specifications, manuals and documentation\naccompanying Llama 2 distributed by Meta at\nURL\n\n\n... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "unsloth/llama-3-8b"} | Fredithefish/Llama3RP-chkpt-2750 | null | [
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|
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null | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_1_class_no_pre_1_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a predi... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_par_bn_v_1_class_no_pre_1_adapter | null | [
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# Adapter 'BigTMiami/micro_par_bn_v_1_class_no_pre_1_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
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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": []} | wendy41/llama-3-user0-80 | null | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method using [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["lucyknada/microsoft_WizardLM-2-7B", "meta-llama/Meta-Llama-3-8B"]} | djward888/mergekit-linear-vlxadqy | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the linear merge method using meta-llama/Meta-Llama-3-8B as a base.
### Models Merged
The following models were included in the merge:
* lucyknada/microsoft_WizardLM-2-7B
##... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/sad_llama_11 | null | [
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | adapter-transformers |
# Adapter `jgrc3/unipelt_adapter_classification_noPre_lr0_0001` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness/) dataset and includes a prediction head for classificat... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_helpfulness"]} | jgrc3/unipelt_adapter_classification_noPre_lr0_0001 | null | [
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"roberta",
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness #region-us
|
# Adapter 'jgrc3/unipelt_adapter_classification_noPre_lr0_0001' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, inst... | [
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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": []} | adjohn1313/explainable-gpt-j-6B-pku-500-epochs | null | [
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"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #gptj #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | FrancescoArno94/ppo-LunarLander-v2 | null | [
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
null | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_1_help_class_adp_lr_0003_S_1` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a p... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_par_bn_v_1_help_class_adp_lr_0003_S_1 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_MICRO_helpfulness_dataset",
"region:us"
] | null | 2024-04-20T15:36:16+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/micro_par_bn_v_1_help_class_adp_lr_0003_S_1' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Us... | [
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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. -->
# xlnet-base-cased
This model is a fine-tuned version of [xlnet/xlnet-base-cased](https://huggingface.co/xlnet/xlnet-base-cased) o... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall"], "base_model": "xlnet/xlnet-base-cased", "model-index": [{"name": "xlnet-base-cased", "results": []}]} | xshubhamx/xlnet-base-cased | null | [
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| xlnet-base-cased
================
This model is a fine-tuned version of xlnet/xlnet-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6908
* Accuracy: 0.8273
* Precision: 0.8307
* Recall: 0.8273
* Precision Macro: 0.7836
* Recall Macro: 0.7606
* Macro Fpr: 0.0159
*... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "unsloth/llama-3-8b"} | Fizzarolli/llama-3-lust-8b-v0.2-adapter | null | [
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#peft #safetensors #arxiv-1910.09700 #base_model-unsloth/llama-3-8b #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
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- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Llama-2-13b-chat-hf - GGUF
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingface.co/meta... | {} | RichardErkhov/meta-llama_-_Llama-2-13b-chat-hf-gguf | null | [
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"region:us"
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"2307.09288"
] | [] | TAGS
#gguf #arxiv-2307.09288 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Llama-2-13b-chat-hf - GGUF
* Model creator: URL
* Original model: URL
Name: Llama-2-13b-chat-hf.Q2\_K.gguf, Quant method: Q2\_K, Size: 4.52GB
Name: Llama-2-13b-chat-hf.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 4.99GB
Name: Llama-2-13b-... | [
"### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\n\n\"Agreement\" means the terms and conditions for use, reproduction, distribution\nand modification of the Llama Materials set forth herein.\n\n\n\"Documentation\" means the specifications, manuals and documentation\naccompanying Llama 2 distributed by Meta at\nURL\n\n\n... | [
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null | trl |
# Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.7-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: Experiment on DPO with other hyperparame... | {"language": ["pt"], "license": "mit", "library_name": "trl", "tags": ["DPO", "WeniGPT"], "base_model": "Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged", "model-index": [{"name": "Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.7-DPO", "results": []}]} | Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.7-DPO | null | [
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|
# Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.7-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for Weni.
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null | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_1_class_no_pre_2_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a predi... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_par_bn_v_1_class_no_pre_2_adapter | null | [
"adapter-transformers",
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"dataset:BigTMiami/amazon_MICRO_helpfulness_dataset",
"region:us"
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/micro_par_bn_v_1_class_no_pre_2_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
... | [
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text2text-generation | transformers |
# Uploaded model
- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** LeroyDyer/Mixtral_AI_MiniTron_2b.m
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslotha... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "LeroyDyer/Mixtral_AI_MiniTron_2b.m", "pipeline_tag": "text2text-generation"} | LeroyDyer/Mini_Merge_ChainOfThoughts | null | [
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|
# Uploaded model
- Developed by: LeroyDyer
- License: apache-2.0
- Finetuned from model : LeroyDyer/Mixtral_AI_MiniTron_2b.m
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/> | [
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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. -->
# distil-bert-fine-tuned-boolq
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-b... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distil-bert-fine-tuned-boolq", "results": []}]} | rycecorn/distil-bert-fine-tuned-boolq | null | [
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"license:apache-2.0",
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#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distil-bert-fine-tuned-boolq
============================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9724
* Accuracy: 0.7125
Model description
-----------------
More information needed
Intended uses & ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3\n* mixed\\_precis... | [
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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. -->
# t5-small-act2pas
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achie... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-base", "model-index": [{"name": "t5-small-act2pas", "results": []}]} | Pushparaj20/t5-base-finetuned | null | [
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| t5-small-act2pas
================
This model is a fine-tuned version of t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5109
* Rouge1: 84.3715
* Rouge2: 72.1078
* Rougel: 84.2884
* Rougelsum: 84.2975
* Gen Len: 14.2801
* Accuracy Log Reg: 0.7544
Model description
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5\n* mixed\\_prec... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "unsloth/llama-3-8b"} | Fredithefish/Llama3RP-chkpt-3000 | null | [
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"region:us"
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#peft #safetensors #arxiv-1910.09700 #base_model-unsloth/llama-3-8b #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
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#... | [
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token-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": []} | abrarhkml/roberta-large-ner-finetuned-pii | null | [
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"arxiv:1910.09700",
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"1910.09700"
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#transformers #safetensors #roberta #token-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.
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- Shared by [optional]:
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- Language(s) (NLP):
- License... | [
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text-generation | transformers |
TODO: put together this readme :3
update: from the results of testing this, i'm pretty sure this training format is dead for now. we shall see :)
probably going to work on more l3 finetunes though, probably w/ custom data | {"license": "other", "library_name": "transformers", "tags": ["axolotl"], "license_name": "llama3"} | Fizzarolli/llama-3-lust-8b-v0.2 | null | [
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#transformers #safetensors #llama #text-generation #axolotl #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
TODO: put together this readme :3
update: from the results of testing this, i'm pretty sure this training format is dead for now. we shall see :)
probably going to work on more l3 finetunes though, probably w/ custom data | [] | [
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text-generation | transformers |
A fishy model
Trained with the ChatML format with a max context length of 32k.
Average length in datasets is around 4-8k tokens.
# Uploaded model
- **Developed by:** TheTsar1209
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | TheTsar1209/llama3-carp-v0.1 | null | [
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|
A fishy model
Trained with the ChatML format with a max context length of 32k.
Average length in datasets is around 4-8k tokens.
# Uploaded model
- Developed by: TheTsar1209
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
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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. -->
# pegasus-base-arxiv-TitleGeneration
This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/peg... | {"tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/pegasus-xsum", "model-index": [{"name": "res", "results": []}]} | Big-Floppa/pegasus-base-arxiv-TitleGeneration | null | [
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#transformers #safetensors #pegasus #text2text-generation #generated_from_trainer #base_model-google/pegasus-xsum #autotrain_compatible #endpoints_compatible #region-us
| pegasus-base-arxiv-TitleGeneration
==================================
This model is a fine-tuned version of google/pegasus-xsum on the arxiv dataset.
It achieves the following results on the evaluation set:
* Loss: 2.8170
* Rouge1: 41.7224
* Rouge2: 22.4944
* Rougel: 38.154
* Rougelsum: 38.1733
* Gen Len: 10.976
... | [
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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": []} | HachiML/Swallow-MS-7b-v0.1-ChatSkill-LAB-Evo-v0.12 | 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-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "finetuning-sentiment-model-3000-samples", "results": []}]} | LaurenTaylor802/finetuning-sentiment-model-3000-samples | null | [
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|
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2644
- Accuracy: 0.9117
- F1: 0.9133
## Model description
More information needed
## Intended uses & limitations
More in... | [
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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": []} | luisespinosa/trust-merged_dataset_mdeberta-v3_20epoch | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_1_help_class_adp_lr_0003_S_2` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a p... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_par_bn_v_1_help_class_adp_lr_0003_S_2 | null | [
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# Adapter 'BigTMiami/micro_par_bn_v_1_help_class_adp_lr_0003_S_2' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Us... | [
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text-classification | setfit |
# SetFit with Omar-Nasr/setfitmodel
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [Omar-Nasr/setfitmodel](https://huggingface.co/Omar-Nasr/setfitmodel) as the Sentence Transformer embedding model. A [LogisticRegression](https://scikit-... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "Omar-Nasr/setfitmodel", "widget": [{"text": " I like art and nature but you can\u2019t really talk about those for more than a few seconds"}, {"text": "... | Omar-Nasr/setfitmodel | null | [
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| SetFit with Omar-Nasr/setfitmodel
=================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses Omar-Nasr/setfitmodel as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.
The model has been trained using an... | [
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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. -->
# deberta-v2-xxlarge-otat-small-lr
This model is a fine-tuned version of [microsoft/deberta-v2-xxlarge](https://huggingface.co/mic... | {"language": ["en"], "license": "mit", "tags": ["nycu-112-2-datamining-hw2", "generated_from_trainer"], "datasets": ["DandinPower/review_onlytitleandtext"], "metrics": ["accuracy"], "base_model": "microsoft/deberta-v2-xxlarge", "model-index": [{"name": "deberta-v2-xxlarge-otat-small-lr", "results": [{"task": {"type": "... | DandinPower/deberta-v2-xxlarge-otat-small-lr | null | [
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| deberta-v2-xxlarge-otat-small-lr
================================
This model is a fine-tuned version of microsoft/deberta-v2-xxlarge on the DandinPower/review\_onlytitleandtext dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7982
* Accuracy: 0.668
* Macro F1: 0.6665
Model description
-... | [
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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. -->
# detr_output
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on a... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr_output", "results": []}]} | KevinLe/detr_output | null | [
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#transformers #tensorboard #safetensors #detr #object-detection #generated_from_trainer #base_model-facebook/detr-resnet-50 #license-apache-2.0 #endpoints_compatible #region-us
| detr\_output
============
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9322
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More info... | [
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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": []} | yerznkyan/t5_small_text2sql | 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 | tf | This model is built by Note, Note can be found [here](https://github.com/NoteDance/Note). The model can be found [here](https://github.com/NoteDance/Note/blob/Note-7.0/Note/neuralnetwork/tf/Llama3.py). The tutorial can be found [here](https://github.com/NoteDance/Note-documentation/tree/tf-7.0). | {"license": "apache-2.0", "library_name": "tf", "tags": ["Note", "llama", "llama3"], "pipeline_tag": "text-generation"} | NoteDance/Llama3 | 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": []} | yuhuixu/mistral-bias-0.9 | null | [
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null | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_1_class_no_pre_3_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a predi... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_par_bn_v_1_class_no_pre_3_adapter | null | [
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|
# Adapter 'BigTMiami/micro_par_bn_v_1_class_no_pre_3_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## 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": []} | bravemindai/codellama-7b-transitional-services-beta | 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": []} | domenicrosati/lens-loss-minimality_lr_2e-5_attack_meta-llama_Llama-2-7b-chat-hf_1_num_layers_6_3e-5_1k | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# **Llamion-14B**
We have released Llamion (Llamafied Orion) by transforming [Orion-14B](https://huggingface.co/OrionStarAI/Orion-14B-Base)
into [the standard LLaMA architecture](https://github.com/huggingface/transformers/blob/main/src/transformers/models/llama/modeling_llama.py)
through parameter mapping and offlin... | {"license": "apache-2.0"} | vaiv/llamion-14b-base | null | [
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#transformers #safetensors #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Llamion-14B
We have released Llamion (Llamafied Orion) by transforming Orion-14B
into the standard LLaMA architecture
through parameter mapping and offline distillation.
Further technical specifications and study results will be detailed in our upcoming paper, available on this page.
!llamion_png
### Contributor... | [
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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": []} | Yasusan/Llama_112_110_v2 | 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 |
# Exprement over small mistral
https://t.me/lovedeathtransformers/7234
https://wandb.ai/alexwortega/tiny_llama?nw=nwuseralexwortega
| {"library_name": "transformers", "tags": []} | AlexWortega/smihr | null | [
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# Exprement over small mistral
https://t.me/lovedeathtransformers/7234
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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. -->
# esm_35m-large-lora-remote-homology
This model is a fine-tuned version of [facebook/esm2_t12_35M_UR50D](https://huggingface.co/fa... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "accuracy"], "base_model": "facebook/esm2_t12_35M_UR50D", "model-index": [{"name": "esm-large-lora-remote-homology", "results": []}]} | sasuface/esm-large-lora-remote-homology | null | [
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#peft #safetensors #generated_from_trainer #base_model-facebook/esm2_t12_35M_UR50D #license-mit #region-us
| esm\_35m-large-lora-remote-homology
===================================
This model is a fine-tuned version of facebook/esm2\_t12\_35M\_UR50D on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5567
* Precision: 0.7216
* Recall: 0.7229
* F1-score: 0.7222
* Accuracy: 0.7216
Model... | [
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feature-extraction | 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. -->
# MPF-google-bart-samsum-3-epochs-finetuned
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/face... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-base", "model-index": [{"name": "MPF-google-bart-samsum-3-epochs-finetuned", "results": []}]} | StDestiny/MPF-google-bart-samsum-3-epochs-finetuned | null | [
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|
# MPF-google-bart-samsum-3-epochs-finetuned
This model is a fine-tuned version of facebook/bart-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tr... | [
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null | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_1_help_class_adp_lr_0003_S_3` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a p... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_par_bn_v_1_help_class_adp_lr_0003_S_3 | null | [
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/micro_par_bn_v_1_help_class_adp_lr_0003_S_3' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Us... | [
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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": []} | Nghia944/code-search-net-tokenizer | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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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": []} | voidful/mamba-130m-base | null | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Llama-2-13b-hf - bnb 4bits
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingface.co/meta... | {} | RichardErkhov/meta-llama_-_Llama-2-13b-hf-4bits | null | [
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#transformers #safetensors #llama #text-generation #arxiv-2307.09288 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Llama-2-13b-hf - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
extra\_gated\_heading: You need to share contact information with Meta to access this model
extra\_gated\_pr... | [
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null | transformers |
# Sparse Autoencoder with Tanh Activation
Source code [dev branch]: https://github.com/HuFY-dev/sparse_autoencoder/tree/dev
Details in this post: https://www.lesswrong.com/posts/3ZCKSArYwgg9P4hqQ/normalizing-sparse-autoencoders | {"license": "mit"} | HuFY-dev/tanh_sae | null | [
"transformers",
"safetensors",
"license:mit",
"endpoints_compatible",
"region:us"
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#transformers #safetensors #license-mit #endpoints_compatible #region-us
|
# Sparse Autoencoder with Tanh Activation
Source code [dev branch]: URL
Details in this post: URL | [
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text-generation | transformers |
# **Llamion-14B**
We have released Llamion (Llamafied Orion) by transforming [Orion-14B](https://huggingface.co/OrionStarAI/Orion-14B-Chat)
into [the standard LLaMA architecture](https://github.com/huggingface/transformers/blob/main/src/transformers/models/llama/modeling_llama.py)
through parameter mapping and offlin... | {"license": "apache-2.0"} | vaiv/llamion-14b-chat | null | [
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"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-20T16:15:55+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Llamion-14B
We have released Llamion (Llamafied Orion) by transforming Orion-14B
into the standard LLaMA architecture
through parameter mapping and offline distillation.
Further technical specifications and study results will be detailed in our upcoming paper, available on this page.
!llamion_png
### Contributor... | [
"# Llamion-14B\n\nWe have released Llamion (Llamafied Orion) by transforming Orion-14B\ninto the standard LLaMA architecture\nthrough parameter mapping and offline distillation.\nFurther technical specifications and study results will be detailed in our upcoming paper, available on this page.\n\n\n!llamion_png",
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Llama-2-13b-hf - bnb 8bits
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingface.co/meta... | {} | RichardErkhov/meta-llama_-_Llama-2-13b-hf-8bits | null | [
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"region:us"
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"2307.09288"
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#transformers #safetensors #llama #text-generation #arxiv-2307.09288 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Llama-2-13b-hf - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
extra\_gated\_heading: You need to share contact information with Meta to access this model
extra\_gated\_pr... | [
"### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\n\n\"Agreement\" means the terms and conditions for use, reproduction, distribution\nand modification of the Llama Materials set forth herein.\n\n\n\"Documentation\" means the specifications, manuals and documentation\naccompanying Llama 2 distributed by Meta at\nURL\n\n\n... | [
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text-classification | transformers | ## Metrics
- loss: 0.9428
- accuracy: 0.8265
- precision: 0.8391
- recall: 0.8265
- precision_macro: 0.8497
- recall_macro: 0.7568
- macro_fpr: 0.0151
- weighted_fpr: 0.0148
- weighted_specificity: 0.9777
- macro_specificity: 0.9869
- weighted_sensitivity: 0.8265
- macro_sensitivity: 0.7568
- f1_micro: 0.8265
- f1_mac... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "xshubhamx/InLegalBERT"]} | xshubhamx/legal-InLegal-merge-dare_ties | null | [
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#transformers #safetensors #bert #text-classification #merge #mergekit #lazymergekit #xshubhamx/InLegalBERT #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| ## Metrics
- loss: 0.9428
- accuracy: 0.8265
- precision: 0.8391
- recall: 0.8265
- precision_macro: 0.8497
- recall_macro: 0.7568
- macro_fpr: 0.0151
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- weighted_specificity: 0.9777
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- macro_sensitivity: 0.7568
- f1_micro: 0.8265
- f1_mac... | [
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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": []} | BeardedMonster/pythia-410m | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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text-to-image | diffusers | # animekrishna
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
[Download](/iamkprasad/animekrishna/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "1boy, <lora:SRJ:0.5> srj as krishna, charismatic face, garden background, golden warrior costume, golden head crown with peacock feather, handsome, charismatic face , garland, <lora:epinoiseoffset:1> <lora:addd... | iamkprasad/animekrishna | null | [
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stablediffusionapi/aniverse #region-us
| # animekrishna
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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] |
text-to-image | diffusers | # aniversekrishna
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
[Download](/iamkprasad/aniversekrishna/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "1boy, <lora:SRJ:0.5> srj as krishna, charismatic face, garden background, golden warrior costume, golden head crown with peacock feather, handsome, charismatic face , garland, <lora:epinoiseoffset:1> <lora:addd... | iamkprasad/aniversekrishna | null | [
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stablediffusionapi/aniverse #region-us
| # aniversekrishna
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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] |
null | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_1_class_no_pre_4_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a predi... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_par_bn_v_1_class_no_pre_4_adapter | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_MICRO_helpfulness_dataset",
"region:us"
] | null | 2024-04-20T16:22:13+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/micro_par_bn_v_1_class_no_pre_4_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
... | [
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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. -->
# detr
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr", "results": []}]} | myshkin/detr | null | [
"transformers",
"safetensors",
"detr",
"object-detection",
"generated_from_trainer",
"base_model:facebook/detr-resnet-50",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T16:22:59+00:00 | [] | [] | TAGS
#transformers #safetensors #detr #object-detection #generated_from_trainer #base_model-facebook/detr-resnet-50 #license-apache-2.0 #endpoints_compatible #region-us
| detr
====
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 5.5674
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1\n* mixed\\_preci... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | cilantro9246/2hvimwi | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"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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null | transformers |
# NotAiLOL/Zephyr-7b-Unsloth-DPO-Q4_K_M-GGUF
This model was converted to GGUF format from [`NotAiLOL/Zephyr-7b-Unsloth-DPO`](https://huggingface.co/NotAiLOL/Zephyr-7b-Unsloth-DPO) 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 c... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "dpo", "llama-cpp", "gguf-my-repo"], "base_model": "unsloth/zephyr-sft-bnb-4bit"} | NotAiLOL/Zephyr-7b-Unsloth-DPO-Q4_K_M-GGUF | null | [
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"unsloth",
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"base_model:unsloth/zephyr-sft-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
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] | TAGS
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|
# NotAiLOL/Zephyr-7b-Unsloth-DPO-Q4_K_M-GGUF
This model was converted to GGUF format from 'NotAiLOL/Zephyr-7b-Unsloth-DPO' 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:
... | [
"# NotAiLOL/Zephyr-7b-Unsloth-DPO-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'NotAiLOL/Zephyr-7b-Unsloth-DPO' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or th... | [
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text-to-image | diffusers | # srj
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
[Download](/iamkprasad/srj/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "SRJ in black clothes , charismatic face, lights of circus in background, bokeh <lora:srj (8):0.9> RAW photo, 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3, symmetry pose", "parameters": {... | iamkprasad/srj | null | [
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<Gallery />
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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] |
null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Llama-2-13b-hf - GGUF
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingface.co/meta-llam... | {} | RichardErkhov/meta-llama_-_Llama-2-13b-hf-gguf | null | [
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#gguf #arxiv-2307.09288 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Llama-2-13b-hf - GGUF
* Model creator: URL
* Original model: URL
Name: Llama-2-13b-hf.Q2\_K.gguf, Quant method: Q2\_K, Size: 4.52GB
Name: Llama-2-13b-hf.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 4.99GB
Name: Llama-2-13b-hf.IQ3\_S.gguf,... | [
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text-classification | transformers | ## Metrics
- loss: 0.9426
- accuracy: 0.8273
- precision: 0.8402
- recall: 0.8273
- precision_macro: 0.8502
- recall_macro: 0.7573
- macro_fpr: 0.0151
- weighted_fpr: 0.0147
- weighted_specificity: 0.9778
- macro_specificity: 0.9870
- weighted_sensitivity: 0.8273
- macro_sensitivity: 0.7573
- f1_micro: 0.8273
- f1_mac... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "xshubhamx/legal-bert-base-uncased", "xshubhamx/InLegalBERT"]} | xshubhamx/legal-InLegal-merge-linear | null | [
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| ## Metrics
- loss: 0.9426
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# tapt_helpfulness_base_pretraining_model_full_train
This model is a fine-tuned version of [roberta-base](https://huggingface.co/r... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "tapt_helpfulness_base_pretraining_model_full_train", "results": []}]} | ltuzova/tapt_helpfulness_base_pretraining_model_full_train | null | [
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| tapt\_helpfulness\_base\_pretraining\_model\_full\_train
========================================================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2718
Model description
-----------------
More information... | [
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null | adapter-transformers |
# Adapter `BigTMiami/micro_par_bn_v_1_help_class_adp_lr_0003_S_4` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a p... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/micro_par_bn_v_1_help_class_adp_lr_0003_S_4 | null | [
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# Adapter 'BigTMiami/micro_par_bn_v_1_help_class_adp_lr_0003_S_4' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# 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": []} | GugaKunkel/gemma2b-Breaking-Bad | null | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
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text-generation | transformers |
8 bit exl2 of llama3-70B-Instruct, for those who want the best exl2 can provide!
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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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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": []} | Megareyka/blenderbot-400M-FineTuned | null | [
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text-classification | transformers | ## Old Metrics
- loss: 1.1158
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- f1... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "xshubhamx/InLegalBERT", "xshubhamx/legal-bert-base-uncased"]} | xshubhamx/InLegal-legal-merge-ties | 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": []} | wendy41/llama-2-koen-user0-80 | null | [
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text-generation | transformers | A finetuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on a custom dataset + DPO.
The Chat Template is the same as LLama-3. More information will be released in the future about the training process and the dataset used.
Follow us on [agi0labs](https://twitter.com/agi... | {"license": "other"} | AGI-0/llamaster-8B-v0.1 | null | [
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| A finetuned version of meta-llama/Meta-Llama-3-8B on a custom dataset + DPO.
The Chat Template is the same as LLama-3. More information will be released in the future about the training process and the dataset used.
Follow us on agi0labs and give us feedback to improve this model.
License: llama-3
Demo: 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": [], "bitsandbytes": {"load_in_4bit": true, "bnb_4bit_use_double_quant": true, "bnb_4bit_quant_type": "nf4", "bnb_4bit_compute_dtype": "torch.bfloat16"}} | shredder-31/GA_V3 | null | [
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text-generation | transformers |
# **GeM-14B-Instruct**
GeM is the series of generative models of VAIV Company aligned with our principal business needs.
This **GeM-14B-Instruct** has been optimized to enhance its performance in both generation and multiple-choice tasks,
based on [Llamion-14B](https://huggingface.co/vaiv/llamion-14b-chat).
![vaiv_p... | {"license": "apache-2.0"} | vaiv/gem-14b-instruct | null | [
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# GeM-14B-Instruct
GeM is the series of generative models of VAIV Company aligned with our principal business needs.
This GeM-14B-Instruct has been optimized to enhance its performance in both generation and multiple-choice tasks,
based on Llamion-14B.
!vaiv_png
### Used datasets
Our dataset collections encompass ... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-1000_25_tok_20e
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mis... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral-7b-1000_25_tok_20e", "results": []}]} | Mitrofazotron/mistral-7b-1000_25_tok_20e | null | [
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|
# mistral-7b-1000_25_tok_20e
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 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 | The model has been fine-tuned using LORA and trained to repeat user messages in ALL CAPS. It took just 11 minutes and 2 epochs (with 4k messages in each) to teach the base 1.6B Stable LM 2 model to follow chat structure and learn the `str.upper()` behaviour. Trained on RTX 4060 8GB.
!!! Despite the fact there were no... | {"language": ["en", "ru"], "tags": ["causal-lm"], "pipeline_tag": "text-generation"} | maxim-saplin/parrot-1_6B | null | [
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summarization | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "pipeline_tag": "summarization"} | BeenaSamuel/t5_small_cnn_multi_news_abstractive_summarizer_v2 | 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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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# faq_model
This model is a fine-tuned version of [timpal0l/mdeberta-v3-base-squad2](https://huggingface.co/timpal0l/mdeberta-v3-b... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "timpal0l/mdeberta-v3-base-squad2", "model-index": [{"name": "faq_model", "results": []}]} | Doter/faq_model | null | [
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| faq\_model
==========
This model is a fine-tuned version of timpal0l/mdeberta-v3-base-squad2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1331
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More... | [
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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. -->
# multinews_cnn_logs2
This model is a fine-tuned version of [BeenaSamuel/t5_small_multi_news_abstractive_summarizer](https://huggi... | {"tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "BeenaSamuel/t5_small_multi_news_abstractive_summarizer", "model-index": [{"name": "multinews_cnn_logs2", "results": []}]} | BeenaSamuel/multinews_cnn_logs2 | null | [
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| multinews\_cnn\_logs2
=====================
This model is a fine-tuned version of BeenaSamuel/t5\_small\_multi\_news\_abstractive\_summarizer on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7781
* Rouge1: 0.5231
* Rouge2: 0.1974
* Rougel: 0.4013
* Gen Len: 311.236
Model d... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | martyyz/OrpoLlama-3-8B | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sa... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "doom_health_gathering_supreme", "type": "doom_health_ga... | HanliChu/rl_course_vizdoom_health_gathering_supreme | null | [
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|
A(n) APPO model trained on the doom_health_gathering_supreme environment.
This model was trained using Sample-Factory 2.0: URL
Documentation for how to use Sample-Factory can be found at URL
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After installing Sample-Factory, download the model with:
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text-classification | transformers | ## Metrics
- loss: 0.6716
- accuracy: 0.8311
- precision: 0.8360
- recall: 0.8311
- precision_macro: 0.8087
- recall_macro: 0.7487
- macro_fpr: 0.0147
- weighted_fpr: 0.0143
- weighted_specificity: 0.9782
- macro_specificity: 0.9873
- weighted_sensitivity: 0.8311
- macro_sensitivity: 0.7487
- f1_micro: 0.8311
- f1_mac... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "xshubhamx/InLegalBERT", "xshubhamx/legal-bert-base-uncased"]} | xshubhamx/InLegal-legal-merge-ties-new | null | [
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| ## Metrics
- loss: 0.6716
- accuracy: 0.8311
- precision: 0.8360
- recall: 0.8311
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text-generation | transformers |
# 🦙 Llama-3-8B-flashback-v1
Llama-3-8B-flashback-v1 is a continuation of the pretraining process for the base meta-llama/Meta-Llama-3-8B model, utilizing 2 251 233 forum threads from the Swedish website https://www.... | {"language": ["sv", "en", "no", "da"], "license": "mit", "tags": ["pretrained", "flashback", "web", "conversational"], "base_model": "meta-llama/Meta-Llama-3-8B", "pipeline_tag": "text-generation", "widget": [{"text": "Jag tycker att det \u00e4r roligt med"}]} | timpal0l/Llama-3-8B-flashback-v1 | null | [
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|
# Llama-3-8B-flashback-v1
![](URL
Llama-3-8B-flashback-v1 is a continuation of the pretraining process for the base meta-llama/Meta-Llama-3-8B model, utilizing 2 251 233 forum threads from the Swedish website URL Which is rougly 40GB of text.
It is a full finetune for three epochs.
## How to use:
## Data Format... | [
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... | [
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LoftQ (LoRA-fine-tuning-aware Quantization) provides a quantized backbone Q and LoRA adapters A and B, given a full... | {"language": ["en"], "license": "mit", "tags": ["quantization ", "lora", "loftq", "llama"], "pipeline_tag": "text-generation"} | LoftQ/Meta-Llama-3-70B-4bit-64rank-1iter | null | [
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| # LoftQ Initialization
| Paper | Code | PEFT Example |
LoftQ (LoRA-fine-tuning-aware Quantization) provides a quantized backbone Q and LoRA adapters A and B, given a full-precision pre-trained weight W.
This model, 'Meta-Llama-3-70B-4bit-64rank-1iter', is obtained from LLAMA-3-70B.
The backbone is under 'LoftQ/Meta... | [
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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. -->
# RoBERTa_Hatespeech_Classifier
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1", "accuracy", "precision", "recall"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "RoBERTa_Hatespeech_Classifier", "results": []}]} | samuelcolvin26/RoBERTa_Hatespeech_Classifier | null | [
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| RoBERTa\_Hatespeech\_Classifier
===============================
This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2496
* F1: 0.9405
* Accuracy: 0.9570
* Precision: 0.9430
* Recall: 0.9379
Model description
------... | [
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text-generation | transformers |
# WestStarling-7B-slerp
WestStarling-7B-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [senseable/WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2)
* [Nexusflow/Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta)
## 🧩 Configurati... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "senseable/WestLake-7B-v2", "Nexusflow/Starling-LM-7B-beta"]} | Sanaullah06/WestStarling-7B-slerp | null | [
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|
# WestStarling-7B-slerp
WestStarling-7B-slerp is a merge of the following models using mergekit:
* senseable/WestLake-7B-v2
* Nexusflow/Starling-LM-7B-beta
## Configuration
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text-classification | transformers |
# Model Card for deberta-v3-base-prompt-injection-v2
This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) specifically developed to detect and classify prompt injection attacks which can manipulate language models into producing unintended outputs.
## In... | {"language": ["en"], "license": "apache-2.0", "tags": ["prompt-injection", "injection", "security", "llm-security", "generated_from_trainer"], "datasets": ["natolambert/xstest-v2-copy", "VMware/open-instruct", "alespalla/chatbot_instruction_prompts", "HuggingFaceH4/grok-conversation-harmless", "Harelix/Prompt-Injection... | protectai/deberta-v3-base-prompt-injection-v2 | null | [
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... | null | 2024-04-20T16:52:22+00:00 | [] | [
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# Model Card for deberta-v3-base-prompt-injection-v2
This model is a fine-tuned version of microsoft/deberta-v3-base specifically developed to detect and classify prompt injection attacks which can manipulate language models into producing unintended outputs.
## Introduction
Prompt injection attacks manipulate lang... | [
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text-classification | transformers | ## Metrics
- loss: 3.3568
- accuracy: 0.1681
- precision: 0.1690
- recall: 0.1681
- precision_macro: 0.0609
- recall_macro: 0.0684
- macro_fpr: 0.1313
- weighted_fpr: 0.2612
- weighted_specificity: 0.8641
- macro_specificity: 0.9355
- weighted_sensitivity: 0.1681
- macro_sensitivity: 0.0684
- f1_micro: 0.1681
- f1_mac... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "xshubhamx/legal-bert-base-uncased", "xshubhamx/InLegalBERT"]} | xshubhamx/legal-InLegal-merge-passthrough | null | [
"transformers",
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"license:apache-2.0",
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| ## Metrics
- loss: 3.3568
- accuracy: 0.1681
- precision: 0.1690
- recall: 0.1681
- precision_macro: 0.0609
- recall_macro: 0.0684
- macro_fpr: 0.1313
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- weighted_specificity: 0.8641
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- macro_sensitivity: 0.0684
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- f1_mac... | [
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null | null |
# Llama-3-Function-calling-config-SLERP
Llama-3-Function-calling-config-SLERP is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [vicgalle/Configurable-Llama-3-8B-v0.3](https://huggingface.co/vicgalle/Configurable-Llama-3-8... | {"tags": ["merge", "mergekit", "lazymergekit", "vicgalle/Configurable-Llama-3-8B-v0.3", "hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode"], "base_model": ["vicgalle/Configurable-Llama-3-8B-v0.3", "hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode"]} | Tirin/Llama-3-Function-calling-config-SLERP | null | [
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|
# Llama-3-Function-calling-config-SLERP
Llama-3-Function-calling-config-SLERP is a merge of the following models using LazyMergekit:
* vicgalle/Configurable-Llama-3-8B-v0.3
* hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode
## Configuration
## Usage
| [
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null | peft |
# Model Card for Model ID
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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": []} | piegarroni/Llama-2-7b-hf-csv-conversion-cense | 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
#### Full License available at: https://huggingface.co/beomi/llama-2-koen-13b/blob/main/LICENSE
#### Dataset: Crawling | {"language": ["ko"], "license": "llama2", "library_name": "transformers", "pipeline_tag": "text-generation"} | wendy41/llama-2-koen-user111-80 | null | [
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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. -->
# detr
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr", "results": []}]} | vision-tf/detr | null | [
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| detr
====
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8164
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\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* num\\_epochs: 0.05\n* mixed\\_pr... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Ehsanl/m3-tx-22-ep1 | null | [
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# Model Card for Model ID
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text-classification | transformers | ## Metrics
- loss: 0.9459
- accuracy: 0.8373
- precision: 0.8366
- recall: 0.8373
- precision_macro: 0.8131
- recall_macro: 0.7904
- macro_fpr: 0.0143
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- macro_specificity: 0.9877
- weighted_sensitivity: 0.8373
- macro_sensitivity: 0.7904
- f1_micro: 0.8373
- f1_mac... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "xshubhamx/InLegalBERT", "xshubhamx/legal-bert-base-uncased"]} | xshubhamx/InLegal-legal-merge-ties-d-053-w-100 | null | [
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| ## Metrics
- loss: 0.9459
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text-generation | transformers |
# Function Calling Fine-tuned Llama 3 Instruct
This model is fine-tuned for function calling.
- The model is suitable for commercial use and is licensed with the Llama 3 Community license.
Check out other fine-tuned function calling models [here](https://huggingface.co/collections/Trelis/function-calling-v3-657199ec... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "llama 3"], "datasets": ["Trelis/function_calling_v3"]} | Trelis/Meta-Llama-3-8B-Instruct-function-calling | null | [
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| Function Calling Fine-tuned Llama 3 Instruct
============================================
This model is fine-tuned for function calling.
* The model is suitable for commercial use and is licensed with the Llama 3 Community license.
Check out other fine-tuned function calling models here.
Quick Server Setup
----... | [
"### Using tokenizer.apply\\_chat\\_template\n\n\nFor an easier application of the prompt, you can set up as follows (note that the conversation below is complete, i.e. you need to remove assistant messages if you want to feed in the conversation to the model):\n\n\nSet up 'messages':\n\n\nwith 'FUNCTION\\_METADATA... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth"]} | RonanMcGovern/Meta-Llama-3-8B-Instruct-function-calling | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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"TAGS\n#transformers #safetensors #llama #text-generation #unsloth #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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"TAGS\n#transformers #safetensors #llama #text-generation #unsloth #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been... |
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