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text-to-image | diffusers |
# Fanta
Samples and prompts:
(Click for larger)
Top left: Elvis's Daughters. Movie still. Pretty CUTE LITTLE Girl with sister playing with miniature toy city, bokeh. DET... | {"language": ["en"], "license": "other", "tags": ["Base Model", "Photorealistic", "Beautiful", "art", "artistic", "michin", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers"]} | Yntec/Fanta | null | [
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"endpoints_compatible",
"has_space",
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"region:us"
] | null | 2024-04-20T21:02:09+00:00 | [] | [
"en"
] | TAGS
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|
# Fanta
Samples and prompts:
!Free online ai image generator fanta
(Click for larger)
Top left: Elvis's Daughters. Movie still. Pretty CUTE LITTLE Girl with sister playing with miniature toy city, bokeh. DETAILED vintage colors photography brown EYES, sitting on a box of pepsis, gorgeous detailed Ponytail, cocacol... | [
"# Fanta\n\nSamples and prompts:\n\n!Free online ai image generator fanta\n\n(Click for larger)\n\nTop left: Elvis's Daughters. Movie still. Pretty CUTE LITTLE Girl with sister playing with miniature toy city, bokeh. DETAILED vintage colors photography brown EYES, sitting on a box of pepsis, gorgeous detailed Ponyt... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_train_Instruction0_SOAPL_h2
This model is a fine-tuned version of [ThuyNT/CS505_COQE_viT5_train_Instruction0_SOA... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "ThuyNT/CS505_COQE_viT5_train_Instruction0_SOAPL", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_SOAPL_h2", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_SOAPL_h2 | null | [
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"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-20T21:03:48+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-ThuyNT/CS505_COQE_viT5_train_Instruction0_SOAPL #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# CS505_COQE_viT5_train_Instruction0_SOAPL_h2
This model is a fine-tuned version of ThuyNT/CS505_COQE_viT5_train_Instruction0_SOAPL on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
... | [
"# CS505_COQE_viT5_train_Instruction0_SOAPL_h2\n\nThis model is a fine-tuned version of ThuyNT/CS505_COQE_viT5_train_Instruction0_SOAPL on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
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null | adapter-transformers |
# Adapter `BigTMiami/m_imdb_par_bn_v_4_pretrain_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/imdb_TAPT_pretraining_dataset](https://huggingface.co/datasets/BigTMiami/imdb_TAPT_pretraining_dataset/) dataset and includes a prediction head ... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/imdb_TAPT_pretraining_dataset"]} | BigTMiami/m_imdb_par_bn_v_4_pretrain_adapter | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/imdb_TAPT_pretraining_dataset",
"region:us"
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#adapter-transformers #roberta #dataset-BigTMiami/imdb_TAPT_pretraining_dataset #region-us
|
# Adapter 'BigTMiami/m_imdb_par_bn_v_4_pretrain_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/imdb_TAPT_pretraining_dataset dataset and includes a prediction head for masked lm.
This adapter was created for usage with the Adapters library.
## Usage
First, insta... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0_ablation_5e7lr_4iters_256batch_iter_2
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_5e7lr_4iters_256batch_... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_5e7lr_4iters_256batch_dataset"], "base_model": "ZhangShenao/0.0_ablation_5e7lr_4iters_256batch_iter_1", "model-index": [{"name": "0.0_ablation_5e7lr_4iters_256batch... | ZhangShenao/0.0_ablation_5e7lr_4iters_256batch_iter_2 | null | [
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"a... | null | 2024-04-20T21:07:33+00:00 | [] | [] | TAGS
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# 0.0_ablation_5e7lr_4iters_256batch_iter_2
This model is a fine-tuned version of ZhangShenao/0.0_ablation_5e7lr_4iters_256batch_iter_1 on the ZhangShenao/0.0_ablation_5e7lr_4iters_256batch_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## T... | [
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text-generation | transformers | # Locutusque/llama-3-neural-chat-v1-8b AWQ
- Model creator: [Locutusque](https://huggingface.co/Locutusque)
- Original model: [llama-3-neural-chat-v1-8b](https://huggingface.co/Locutusque/llama-3-neural-chat-v1-8b)
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6437292ecd93f4c9a34b0d47/6XQuhjWNr6C... | {"license": "other", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "datasets": ["mlabonne/orpo-dpo-mix-40k", "Open-Orca/SlimOrca-Dedup", "jondurbin/airoboros-3.2", "microsoft/orca-math-word-problems-200k", "m-a-p/Code-Feedback", "MaziyarPana... | solidrust/llama-3-neural-chat-v1-8b-AWQ | null | [
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"dataset:Open-Orca/SlimOrca-Dedup",
"dataset:jondurbin/airoboros-3.2",
"dataset:microsoft/orca-math-word-problems-... | null | 2024-04-20T21:09:19+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #conversational #dataset-mlabonne/orpo-dpo-mix-40k #dataset-Open-Orca/SlimOrca-Dedup #dataset-jondurbin/airoboros-3.2 #dataset-microsoft/orca-math-word-problems-200k #dataset-m-a-p/Code-Feedback #dataset-Mazi... | # Locutusque/llama-3-neural-chat-v1-8b AWQ
- Model creator: Locutusque
- Original model: llama-3-neural-chat-v1-8b
!image/png
## Model Summary
I fine-tuned llama-3 8B on an approach similar to Intel's neural chat language model. I have slightly modified the data sources so it is stronger in coding, math, and writin... | [
"# Locutusque/llama-3-neural-chat-v1-8b AWQ\n\n- Model creator: Locutusque\n- Original model: llama-3-neural-chat-v1-8b\n\n!image/png",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Falcon-Summarization
This model is a fine-tuned version of [tiiuae/falcon-7b-instruct](https://huggingface.co/tiiuae/falcon-7b-i... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "datasets": ["scitldr"], "base_model": "tiiuae/falcon-7b-instruct", "model-index": [{"name": "Falcon-Summarization", "results": []}]} | pkbiswas/Falcon-7b-Summarization-QLoRa | null | [
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"generated_from_trainer",
"dataset:scitldr",
"base_model:tiiuae/falcon-7b-instruct",
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"region:us"
] | null | 2024-04-20T21:10:02+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #dataset-scitldr #base_model-tiiuae/falcon-7b-instruct #license-apache-2.0 #region-us
| Falcon-Summarization
====================
This model is a fine-tuned version of tiiuae/falcon-7b-instruct on the scitldr dataset.
It achieves the following results on the evaluation set:
* Loss: 2.5006
Model description
-----------------
More information needed
Intended uses & limitations
--------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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text-generation | transformers | To use with [LocalAI](https://localai.io) this is an example model definition:
```
name: WizardLM2
backend: transformers
parameters:
model: fakezeta/Not-WizardLM-2-7B-ov-int4
context_size: 8192
threads: 6
f16: true
type: OVModelForCausalLM
prompt_cache_path: "cache"
prompt_cache_all: true
template:
use_tokenizer_t... | {"license": "apache-2.0"} | fakezeta/Not-WizardLM-2-7B-ov-int4 | null | [
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"mistral",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
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"region:us"
] | null | 2024-04-20T21:10:21+00:00 | [] | [] | TAGS
#transformers #openvino #mistral #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| To use with LocalAI this is an example model definition:
| [] | [
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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": []} | kakinola23/Meta-Llama-3-8B-bnb-4bit-new | null | [
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"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-20T21:11:31+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
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 huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | amine-01/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-20T21:15:21+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_train_Instruction0_ASPOL_h2
This model is a fine-tuned version of [ThuyNT/CS505_COQE_viT5_train_Instruction0_ASP... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "ThuyNT/CS505_COQE_viT5_train_Instruction0_ASPOL", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_ASPOL_h2", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_ASPOL_h2 | null | [
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"base_model:ThuyNT/CS505_COQE_viT5_train_Instruction0_ASPOL",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-20T21:16:33+00:00 | [] | [] | TAGS
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|
# CS505_COQE_viT5_train_Instruction0_ASPOL_h2
This model is a fine-tuned version of ThuyNT/CS505_COQE_viT5_train_Instruction0_ASPOL on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
... | [
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null | adapter-transformers |
# Adapter `BigTMiami/m_cite_par_bn_v_4_help_class_adp_S_0` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/citation_intent_dataset](https://huggingface.co/datasets/BigTMiami/citation_intent_dataset/) dataset and includes a prediction head for classi... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/citation_intent_dataset"]} | BigTMiami/m_cite_par_bn_v_4_help_class_adp_S_0 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/citation_intent_dataset",
"region:us"
] | null | 2024-04-20T21:18:39+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/citation_intent_dataset #region-us
|
# Adapter 'BigTMiami/m_cite_par_bn_v_4_help_class_adp_S_0' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/citation_intent_dataset 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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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": []} | testing-ml/kto-mini | null | [
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"endpoints_compatible",
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"1910.09700"
] | [] | TAGS
#transformers #tensorboard #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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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. -->
# my_awesome_opus_books_model
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "t5-small", "model-index": [{"name": "my_awesome_opus_books_model", "results": []}]} | YJL814/my_awesome_opus_books_model | null | [
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"text2text-generation",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-20T21:20:00+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| my\_awesome\_opus\_books\_model
===============================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1920
* Bleu: 0.1995
* Gen Len: 18.1959
Model description
-----------------
More information needed
Intended u... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2\n* mixed\\_prec... | [
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null | adapter-transformers |
# Adapter `BigTMiami/m_cite_par_bn_v_4_help_class_adp_S_1` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/citation_intent_dataset](https://huggingface.co/datasets/BigTMiami/citation_intent_dataset/) dataset and includes a prediction head for classi... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/citation_intent_dataset"]} | BigTMiami/m_cite_par_bn_v_4_help_class_adp_S_1 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/citation_intent_dataset",
"region:us"
] | null | 2024-04-20T21:20:03+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/citation_intent_dataset #region-us
|
# Adapter 'BigTMiami/m_cite_par_bn_v_4_help_class_adp_S_1' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/citation_intent_dataset 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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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct"} | Fredithefish/Llama3RPInstruct-chkpt-750 | null | [
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"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-meta-llama/Meta-Llama-3-8B-Instruct #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
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- Model type:
- Language(s) (NLP):
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- Finetuned from model [optional]:
### Model Sources [optional]
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null | adapter-transformers |
# Adapter `BigTMiami/m_cite_par_bn_v_4_class_no_pre_0_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/citation_intent_dataset](https://huggingface.co/datasets/BigTMiami/citation_intent_dataset/) dataset and includes a prediction head for cl... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/citation_intent_dataset"]} | BigTMiami/m_cite_par_bn_v_4_class_no_pre_0_adapter | null | [
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#adapter-transformers #roberta #dataset-BigTMiami/citation_intent_dataset #region-us
|
# Adapter 'BigTMiami/m_cite_par_bn_v_4_class_no_pre_0_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/citation_intent_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, ... | [
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null | adapter-transformers |
# Adapter `BigTMiami/m_cite_par_bn_v_4_help_class_adp_S_2` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/citation_intent_dataset](https://huggingface.co/datasets/BigTMiami/citation_intent_dataset/) dataset and includes a prediction head for classi... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/citation_intent_dataset"]} | BigTMiami/m_cite_par_bn_v_4_help_class_adp_S_2 | null | [
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#adapter-transformers #roberta #dataset-BigTMiami/citation_intent_dataset #region-us
|
# Adapter 'BigTMiami/m_cite_par_bn_v_4_help_class_adp_S_2' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/citation_intent_dataset 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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null | adapter-transformers |
# Adapter `BigTMiami/m_cite_par_bn_v_4_class_no_pre_1_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/citation_intent_dataset](https://huggingface.co/datasets/BigTMiami/citation_intent_dataset/) dataset and includes a prediction head for cl... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/citation_intent_dataset"]} | BigTMiami/m_cite_par_bn_v_4_class_no_pre_1_adapter | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/citation_intent_dataset",
"region:us"
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#adapter-transformers #roberta #dataset-BigTMiami/citation_intent_dataset #region-us
|
# Adapter 'BigTMiami/m_cite_par_bn_v_4_class_no_pre_1_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/citation_intent_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, ... | [
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question-answering | transformers | # Model Card for Llama3-4x8B-TimeAgents
This model card serves as a detailed guide and reference for users interacting with the Llama3-TimeAgents-4x8B model.
## Model Details
### Model Description
Llama3-TimeAgents-4x8B is an advanced machine learning model specifically developed for multi-agent systems focused on ... | {"pipeline_tag": "question-answering"} | AIFS/Llama3-4x8B-Time-Agents | null | [
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"mixtral",
"text-generation",
"question-answering",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-20T21:22:31+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #question-answering #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Model Card for Llama3-4x8B-TimeAgents
This model card serves as a detailed guide and reference for users interacting with the Llama3-TimeAgents-4x8B model.
## Model Details
### Model Description
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null | adapter-transformers |
# Adapter `BigTMiami/m_cite_par_bn_v_4_help_class_adp_S_3` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/citation_intent_dataset](https://huggingface.co/datasets/BigTMiami/citation_intent_dataset/) dataset and includes a prediction head for classi... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/citation_intent_dataset"]} | BigTMiami/m_cite_par_bn_v_4_help_class_adp_S_3 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/citation_intent_dataset",
"region:us"
] | null | 2024-04-20T21:22:53+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/citation_intent_dataset #region-us
|
# Adapter 'BigTMiami/m_cite_par_bn_v_4_help_class_adp_S_3' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/citation_intent_dataset 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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null | adapter-transformers |
# Adapter `BigTMiami/m_cite_par_bn_v_4_class_no_pre_2_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/citation_intent_dataset](https://huggingface.co/datasets/BigTMiami/citation_intent_dataset/) dataset and includes a prediction head for cl... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/citation_intent_dataset"]} | BigTMiami/m_cite_par_bn_v_4_class_no_pre_2_adapter | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/citation_intent_dataset",
"region:us"
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#adapter-transformers #roberta #dataset-BigTMiami/citation_intent_dataset #region-us
|
# Adapter 'BigTMiami/m_cite_par_bn_v_4_class_no_pre_2_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/citation_intent_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, ... | [
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null | adapter-transformers |
# Adapter `BigTMiami/m_cite_par_bn_v_4_help_class_adp_S_4` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/citation_intent_dataset](https://huggingface.co/datasets/BigTMiami/citation_intent_dataset/) dataset and includes a prediction head for classi... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/citation_intent_dataset"]} | BigTMiami/m_cite_par_bn_v_4_help_class_adp_S_4 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/citation_intent_dataset",
"region:us"
] | null | 2024-04-20T21:24:17+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/citation_intent_dataset #region-us
|
# Adapter 'BigTMiami/m_cite_par_bn_v_4_help_class_adp_S_4' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/citation_intent_dataset 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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null | adapter-transformers |
# Adapter `BigTMiami/m_cite_par_bn_v_4_class_no_pre_3_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/citation_intent_dataset](https://huggingface.co/datasets/BigTMiami/citation_intent_dataset/) dataset and includes a prediction head for cl... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/citation_intent_dataset"]} | BigTMiami/m_cite_par_bn_v_4_class_no_pre_3_adapter | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/citation_intent_dataset",
"region:us"
] | null | 2024-04-20T21:24:34+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/citation_intent_dataset #region-us
|
# Adapter 'BigTMiami/m_cite_par_bn_v_4_class_no_pre_3_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/citation_intent_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, ... | [
"# Adapter 'BigTMiami/m_cite_par_bn_v_4_class_no_pre_3_adapter' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/citation_intent_dataset dataset and includes a prediction head for classification.\n\nThis adapter was created for usage with the Adapters library.",
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unconditional-image-generation | diffusers |
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('yaochx/sd-class-butterflies... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | yaochx/sd-class-butterflies-64 | null | [
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"safetensors",
"pytorch",
"unconditional-image-generation",
"diffusion-models-class",
"license:mit",
"diffusers:DDPMPipeline",
"region:us"
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#diffusers #safetensors #pytorch #unconditional-image-generation #diffusion-models-class #license-mit #diffusers-DDPMPipeline #region-us
|
# Model Card for Unit 1 of the Diffusion Models Class
This model is a diffusion model for unconditional image generation of cute .
## Usage
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] |
null | adapter-transformers |
# Adapter `BigTMiami/m_cite_par_bn_v_4_class_no_pre_4_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/citation_intent_dataset](https://huggingface.co/datasets/BigTMiami/citation_intent_dataset/) dataset and includes a prediction head for cl... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/citation_intent_dataset"]} | BigTMiami/m_cite_par_bn_v_4_class_no_pre_4_adapter | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/citation_intent_dataset",
"region:us"
] | null | 2024-04-20T21:25:59+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/citation_intent_dataset #region-us
|
# Adapter 'BigTMiami/m_cite_par_bn_v_4_class_no_pre_4_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/citation_intent_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, ... | [
"# Adapter 'BigTMiami/m_cite_par_bn_v_4_class_no_pre_4_adapter' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/citation_intent_dataset dataset and includes a prediction head for classification.\n\nThis adapter was created for usage with the Adapters library.",
"## Us... | [
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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": []} | mohdumar/gpt2-medium-untied | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Fighoture/Llama-2-7b-chat-shortgpt-15-percent | 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_24_3e-5_1k | 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": []} | cilantro9246/52ln0ry | null | [
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|
# Model Card for Model ID
## Model Details
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/stablelm-42 | null | [
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## Model Details
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | stuvx/ppo-Huggy | null | [
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"Huggy",
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"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
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#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
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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. -->
# scotus
This model is a fine-tuned version of [YoungPanda/REBIRTHBERT](https://huggingface.co/YoungPanda/REBIRTHBERT) on an unkno... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "YoungPanda/REBIRTHBERT", "model-index": [{"name": "scotus", "results": []}]} | KolaGang/REBIRTHBERTCLASS | null | [
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"region:us"
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|
# scotus
This model is a fine-tuned version of YoungPanda/REBIRTHBERT on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0950
- Accuracy: 0.7079
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation ... | [
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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": []} | tomaszki/stablelm-42-a | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/stablelm-42-b | 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]:
- Shared by [optional]:
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- Language(s) (NLP):
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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": []} | Aspik101/llama3333 | 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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- License... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# tiny_sum_04-20-21-09-19
This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLl... | {"license": "apache-2.0", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", "model-index": [{"name": "tiny_sum_04-20-21-09-19", "results": []}]} | reeddg/tiny_sum_04-20-21-09-19 | null | [
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"region:us"
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|
# tiny_sum_04-20-21-09-19
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
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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 passthrough merge method.
### Models Merged
The following models were included in the merge:
* [Muhammad2003/Llama3-8B-OpenHermes-DPO... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Muhammad2003/Llama3-8B-OpenHermes-DPO", "IlyaGusev/saiga_llama3_8b", "NousResearch/Meta-Llama-3-8B-Instruct", "abacusai/Llama-3-Smaug-8B"]} | ehristoforu/0001lp | null | [
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"base_model:abacusai/Llama-3-Smaug-8B",
"autotrain_c... | null | 2024-04-20T21:40:26+00:00 | [] | [] | TAGS
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the passthrough merge method.
### Models Merged
The following models were included in the merge:
* Muhammad2003/Llama3-8B-OpenHermes-DPO
* IlyaGusev/saiga_llama3_8b
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text-generation | transformers |
# SeELLama (Semantic Extraction LLama)
Model is based on LLama2-7b and fine-tuned with the `DehydratedWater42/semantic_relations_extraction` dataset.
The purpose of this model is to extract semantic relations from text in a structured way.
#### Simplified Example:
- **Initial Text**: "While there is beautiful weathe... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["math", "semantic", "extraction", "graph", "relations", "science", "synthetic"], "datasets": ["DehydratedWater42/semantic_relations_extraction"], "pipeline_tag": "text-generation", "inference": false} | DehydratedWater42/SeELLama | null | [
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... | null | 2024-04-20T21:41:41+00:00 | [] | [
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|
# SeELLama (Semantic Extraction LLama)
Model is based on LLama2-7b and fine-tuned with the 'DehydratedWater42/semantic_relations_extraction' dataset.
The purpose of this model is to extract semantic relations from text in a structured way.
#### Simplified Example:
- Initial Text: "While there is beautiful weather ou... | [
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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": []} | Fighoture/Llama-2-7b-chat-shortgpt-with-angular-15-percent | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_ablation_declr_4iters_iter_3
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_declr_4iters_iter_2](https://hu... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_declr_4iters_iter_2", "model-index": [{"name": "0.001_ablation_declr_4iters_iter_3", "results": []}]} | ShenaoZ/0.001_ablation_declr_4iters_iter_3 | null | [
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|
# 0.001_ablation_declr_4iters_iter_3
This model is a fine-tuned version of ShenaoZ/0.001_ablation_declr_4iters_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information n... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/dumbo-stable11 | null | [
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text-generation | transformers | # ResplendentAI/Aura_Uncensored_l3_8B AWQ
- Model creator: [amazingvince](https://huggingface.co/amazingvince)
- Original model: [openhermes-7b-dpo](https://huggingface.co/amazingvince/openhermes-7b-dpo)
![image/png](https://cdn-uploads.huggingface.co/production/uploads/626dfb8786671a29c715f8a9/oiYHWIEHqmgUkY0GsVdDx.... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "base_model": ["Undi95/Llama-3-Unholy-8B", "Undi95/Llama-3-Unholy-8B", "ResplendentAI/Aura_Llama3", "Undi95/Llama-3-Unholy-8B", "ResplendentAI/RP_For... | solidrust/Aura_Uncensored_8B-AWQ | null | [
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| # ResplendentAI/Aura_Uncensored_l3_8B AWQ
- Model creator: amazingvince
- Original model: openhermes-7b-dpo
!image/png
## Model Summary
is is the culmination of all my efforts for the Aura line. I have taken the original training data and applied it over Undi95's Unholy base model. This model can and will provide u... | [
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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": []} | Fighoture/Llama-2-7b-chat-shortgpt-with-angular-20-percent | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-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. -->
# canine-rando
This model is a fine-tuned version of [google/canine-c](https://huggingface.co/google/canine-c) on an unknown datas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/canine-c", "model-index": [{"name": "canine-rando", "results": []}]} | addykan/canine-rando | null | [
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| canine-rando
============
This model is a fine-tuned version of google/canine-c on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0006
* Accuracy: 0.9999
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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null | trl |
# Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.8-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-1.0.8-DPO", "results": []}]} | Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.8-DPO | null | [
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# Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.8-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 | transformers |
# Uploaded model
- **Developed by:** ogdanneedham
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.co... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | ogdanneedham/mistral-gs-0.1-lora | null | [
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|
# Uploaded model
- Developed by: ogdanneedham
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
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<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. -->
# bart-large
This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall"], "base_model": "facebook/bart-large", "model-index": [{"name": "bart-large", "results": []}]} | xshubhamx/bart-large | null | [
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| bart-large
==========
This model is a fine-tuned version of facebook/bart-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0027
* Accuracy: 0.7916
* Precision: 0.7858
* Recall: 0.7916
* Precision Macro: 0.7201
* Recall Macro: 0.7056
* Macro Fpr: 0.0201
* Weighted Fpr: ... | [
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text-generation | null | # 4-bit Quantized Llama 3 Model For Chat Bots
## Description
This repository hosts the 4-bit quantized version of the Llama 3 model. Optimized for reduced memory usage and faster inference, this model is suitable for deployment in environments where computational resources are limited.
## Model Details
- **Model Type... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "qlora", "quantization", "4-bit", "lora"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Versio... | SweatyCrayfish/Llama-3-8B-Instruct-Quantized | null | [
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| # 4-bit Quantized Llama 3 Model For Chat Bots
## Description
This repository hosts the 4-bit quantized version of the Llama 3 model. Optimized for reduced memory usage and faster inference, this model is suitable for deployment in environments where computational resources are limited.
## Model Details
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video-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# videomae-base-finetuned-ucf101-subset
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-N... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MCG-NJU/videomae-base", "model-index": [{"name": "videomae-base-finetuned-ucf101-subset", "results": []}]} | RachelAman/videomae-base-finetuned-ucf101-subset | null | [
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| videomae-base-finetuned-ucf101-subset
=====================================
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2238
* Accuracy: 0.9143
Model description
-----------------
More information needed
... | [
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null | transformers |
# Uploaded model
- **Developed by:** Saiikish
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/tinyllama-bnb-4bit"} | Saiikish/Saiikish | null | [
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|
# Uploaded model
- Developed by: Saiikish
- License: apache-2.0
- Finetuned from model : unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# ehristoforu/c4ai-command-r-plus-Q2_K-GGUF
This model was converted to GGUF format from [`CohereForAI/c4ai-command-r-plus`](https://huggingface.co/CohereForAI/c4ai-command-r-plus) 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 ... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["conversational", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation", "inference": false} | ehristoforu/c4ai-command-r-plus-Q2_K-GGUF | null | [
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| ehristoforu/c4ai-command-r-plus-Q2\_K-GGUF
==========================================
This model was converted to GGUF format from 'CohereForAI/c4ai-command-r-plus' 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 thr... | [
"### Tool use & multihop capabilities:\n\n\nCommand R+ has been specifically trained with conversational tool use capabilities. These have been trained into the model via a mixture of supervised fine-tuning and preference fine-tuning, using a specific prompt template. Deviating from this prompt template will likely... | [
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text-generation | transformers | This is my previous Llama3 merge (OrpoSmaug-Slerp) with an extra LoRa for better RP on top.
Thanks to mradermacher, there are also GGUF quants (Q2_K-Q8_K & IQ3_XS-IQ4_XS) for this model available here: https://huggingface.co/mradermacher/Llama3-RPLoRa-SmaugOrpo-GGUF
---
base_model:
- WesPro/Llama3-OrpoSmaug-Slerp-... | {} | WesPro/Llama3-RPLoRa-SmaugOrpo | null | [
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| This is my previous Llama3 merge (OrpoSmaug-Slerp) with an extra LoRa for better RP on top.
Thanks to mradermacher, there are also GGUF quants (Q2_K-Q8_K & IQ3_XS-IQ4_XS) for this model available here: URL
---
base_model:
- WesPro/Llama3-OrpoSmaug-Slerp-8B
- ResplendentAI/RP_Format_Llama3
library_name: transformer... | [
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text-to-image | diffusers | ## Zelda Diffusion Model Card
SDZelda is a latent text-to-image diffusion model capable of generating images of Zelda from The Legend of Zelda. For more information about how Stable Diffusion functions, please have a look at 🤗's [Stable Diffusion blog](https://huggingface.co/blog/stable_diffusion).
You can use this ... | {"language": ["en"], "license": "mit", "library_name": "diffusers", "tags": ["diffusion"], "datasets": ["nroggendorff/zelda"], "metrics": ["mse"], "pipeline_tag": "text-to-image"} | nroggendorff/zelda-diffusion | null | [
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#diffusers #tensorboard #safetensors #diffusion #text-to-image #en #dataset-nroggendorff/zelda #license-mit #endpoints_compatible #has_space #diffusers-StableDiffusionPipeline #region-us
| ## Zelda Diffusion Model Card
SDZelda is a latent text-to-image diffusion model capable of generating images of Zelda from The Legend of Zelda. For more information about how Stable Diffusion functions, please have a look at 's Stable Diffusion blog.
You can use this with the Diffusers library from Hugging Face.
!So... | [
"## Zelda Diffusion Model Card\n\nSDZelda is a latent text-to-image diffusion model capable of generating images of Zelda from The Legend of Zelda. For more information about how Stable Diffusion functions, please have a look at 's Stable Diffusion blog.\n\nYou can use this with the Diffusers library from Hugging F... | [
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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": []} | Fighoture/Llama-2-7b-chat-shortgpt-with-angular-25-percent | 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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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null | transformers |
# Uploaded model
- **Developed by:** Saiikish
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/tinyllama-bnb-4bit"} | Saiikish/Alt_f4 | null | [
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|
# Uploaded model
- Developed by: Saiikish
- License: apache-2.0
- Finetuned from model : unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bart-large-lora-no-grad
This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall"], "base_model": "facebook/bart-large", "model-index": [{"name": "bart-large-lora-no-grad", "results": []}]} | xshubhamx/bart-large-lora-no-grad | null | [
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| bart-large-lora-no-grad
=======================
This model is a fine-tuned version of facebook/bart-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8724
* Accuracy: 0.8428
* Precision: 0.8414
* Recall: 0.8428
* Precision Macro: 0.8149
* Recall Macro: 0.7856
* Macro Fp... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 15",
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null | adapter-transformers |
# Adapter `jgrc3/pfeiffer_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 classifica... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_helpfulness"]} | jgrc3/pfeiffer_adapter_classification_noPre_lr0_0001 | null | [
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness #region-us
|
# Adapter 'jgrc3/pfeiffer_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, ins... | [
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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. -->
# ellis-v10-emotion-leadership
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased)... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "ellis-v10-emotion-leadership", "results": []}]} | gsl22/ellis-v10-emotion-leadership | null | [
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| ellis-v10-emotion-leadership
============================
This model is a fine-tuned version of bert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2726
* Accuracy: 0.9142
Model description
-----------------
More information needed
Intended uses & limitati... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral_instruct_generation
This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mixtral-8x7B-v0.1", "model-index": [{"name": "mistral_instruct_generation", "results": []}]} | Cem13/mixtralep1 | null | [
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| mistral\_instruct\_generation
=============================
This model is a fine-tuned version of mistralai/Mixtral-8x7B-v0.1 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0965
Model description
-----------------
More information needed
Intended uses & limitations
-... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | domenicrosati/lens-loss-minimality_lr_2e-5_attack_meta-llama_Llama-2-7b-chat-hf_1_num_layers_24_8e-5_10k | null | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0_ablation_sample3_4iters_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.0_ablation_sample3_4iters_iter_1", "results": []}]} | ZhangShenao/0.0_ablation_sample3_4iters_iter_1 | null | [
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# 0.0_ablation_sample3_4iters_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informatio... | [
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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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audio-classification | transformers | # Accent Classification XL
Accent Classification XL is a major improvement from ML for Speech's previous [Accent Classification](https://huggingface.co/ml-for-speech/accent-classification) model. This model was trained on almost twice the amount of data and features a much larger model, based on [Distil-Whisper Medium... | {"language": ["en"]} | ml-for-speech/accent-classification-xl | null | [
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null | transformers |
# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Fighoture/Llama-2-7b-chat-shortgpt-23-29 | null | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "my_awesome_model", "results": []}]} | namebobb/my_awesome_model | null | [
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| my\_awesome\_model
==================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
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* Accuracy: 0.8791
Model description
-----------------
More information needed
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0_ablation_sample1_4iters_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.0_ablation_sample1_4iters_iter_1", "results": []}]} | ZhangShenao/0.0_ablation_sample1_4iters_iter_1 | null | [
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|
# 0.0_ablation_sample1_4iters_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informatio... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0_ablation_declr_4iters_256batch_iter_3
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_declr_4iters_256batch_... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_declr_4iters_256batch_dataset"], "base_model": "ZhangShenao/0.0_ablation_declr_4iters_256batch_iter_2", "model-index": [{"name": "0.0_ablation_declr_4iters_256batch... | ZhangShenao/0.0_ablation_declr_4iters_256batch_iter_3 | null | [
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# 0.0_ablation_declr_4iters_256batch_iter_3
This model is a fine-tuned version of ZhangShenao/0.0_ablation_declr_4iters_256batch_iter_2 on the ZhangShenao/0.0_ablation_declr_4iters_256batch_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_train_Instruction0_SOAPL_h3
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_SOAPL_h3", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_SOAPL_h3 | null | [
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|
# CS505_COQE_viT5_train_Instruction0_SOAPL_h3
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct"} | Fredithefish/Llama3RPInstruct-chkpt-2000 | 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": []} | Fighoture/Llama-2-7b-chat-shortgpt-21-28 | null | [
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# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/dumbo-llama | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-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. -->
# citation_intent_classification_roberta
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base)... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "citation_intent_classification_roberta", "results": []}]} | ltuzova/citation_intent_classification_roberta | null | [
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| citation\_intent\_classification\_roberta
=========================================
This model is a fine-tuned version of roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9427
* Accuracy: 0.7986
* F1 Macro: 0.6913
Model description
-----------------
More infor... | [
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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. -->
# canine-rando-30-chars
This model is a fine-tuned version of [google/canine-c](https://huggingface.co/google/canine-c) on an unkn... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/canine-c", "model-index": [{"name": "canine-rando-30-chars", "results": []}]} | addykan/canine-rando-30-chars | null | [
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| canine-rando-30-chars
=====================
This model is a fine-tuned version of google/canine-c on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7346
* Accuracy: 0.7282
Model description
-----------------
More information needed
Intended uses & limitations
----------... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "unsloth/llama-3-8b-bnb-4bit"} | ResplendentAI/RP_Format_QuoteAsterisk_Llama3 | null | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# sum_04-20-22-59-01
This model is a fine-tuned version of [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/NousResearch/L... | {"tags": ["trl", "sft", "generated_from_trainer"], "base_model": "NousResearch/Llama-2-7b-chat-hf", "model-index": [{"name": "sum_04-20-22-59-01", "results": []}]} | reeddg/sum_04-20-22-59-01 | null | [
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|
# sum_04-20-22-59-01
This model is a fine-tuned version of NousResearch/Llama-2-7b-chat-hf on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyper... | [
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null | mlx |
# lucataco/Mixtral-8x22B-v0.1-4bit
This model was converted to MLX format from [`mistralai/Mixtral-8x22B-v0.1`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/mistralai/Mixtral-8x22B-v0.1) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```p... | {"language": ["fr", "it", "de", "es", "en"], "license": "apache-2.0", "tags": ["moe", "mlx"]} | lucataco/Mixtral-8x22B-v0.1-4bit | null | [
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# lucataco/Mixtral-8x22B-v0.1-4bit
This model was converted to MLX format from ['mistralai/Mixtral-8x22B-v0.1']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
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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. -->
# nlp_a4
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It achieve... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "nlp_a4", "results": []}]} | hhardik/nlp_a4 | null | [
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# nlp_a4
This model is a fine-tuned version of roberta-base on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.3511
- eval_f1: 0.4167
- eval_runtime: 128.3405
- eval_samples_per_second: 56.794
- eval_steps_per_second: 1.777
- epoch: 2.0
- step: 3684
## Model description
M... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"license": "apache-2.0", "library_name": "transformers"} | HuggingFaceFW/ablation-model-fineweb-v1 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | null | <!-- markdownlint-disable MD041 -->
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<div ... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code"], "model_name": "Phi 1", "base_model": "microsoft/phi-1", "inference": false, "license_link": "https://huggingface.co/microsoft/phi-1/resolve/main/LICENSE", "license_name": "microsoft-research-license", "model_creator": "Microsoft", "model_type": "phi-msft",... | professorf/phi-1-gguf | null | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Dolphin 2.9 Llama 3 8b 🐬
Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations... | {"license": "other", "tags": ["generated_from_trainer", "axolotl"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-wo... | cognitivecomputations/dolphin-2.9-llama3-8b | null | [
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======================
Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations
Discord: URL
<img src="URL width="600" />
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"license": "apache-2.0", "library_name": "transformers"} | HuggingFaceFW/ablation-model-c4 | 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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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... | poojakannanv/ppo-LunarLander-v2 | null | [
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# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"license": "apache-2.0", "library_name": "transformers"} | HuggingFaceFW/ablation-model-dolma-v1_6 | 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 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0_ablation_5e7lr_4iters_256batch_iter_3
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_5e7lr_4iters_256batch_... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_5e7lr_4iters_256batch_dataset"], "base_model": "ZhangShenao/0.0_ablation_5e7lr_4iters_256batch_iter_2", "model-index": [{"name": "0.0_ablation_5e7lr_4iters_256batch... | ZhangShenao/0.0_ablation_5e7lr_4iters_256batch_iter_3 | null | [
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# 0.0_ablation_5e7lr_4iters_256batch_iter_3
This model is a fine-tuned version of ZhangShenao/0.0_ablation_5e7lr_4iters_256batch_iter_2 on the ZhangShenao/0.0_ablation_5e7lr_4iters_256batch_dataset dataset.
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More information needed
## Intended uses & limitations
More information needed
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"license": "apache-2.0", "library_name": "transformers"} | HuggingFaceFW/ablation-model-refinedweb | 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]:
- Shared by [optional]:
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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]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_GrounTruth_tiny_Seed101 | null | [
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"1910.09700"
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#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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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]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_GrounTruth_tiny_Seed101 | null | [
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#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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### Direct Use
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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": []} | chandc/OrpoLlama-3-8B | null | [
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"text-generation",
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"autotrain_compatible",
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"region:us"
] | null | 2024-04-20T23:20:57+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
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"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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text-generation | transformers |
I made a couple more models just for fun. I can’t vouch for the quality, since I didn’t do any tests.
Link to the original model and the script with which I created these models:
- Himitsui/KuroMitsu-11B: https://huggingface.co/Himitsui/KuroMitsu-11B
- FantasiaFoundry/GGUF-Quantization-Script: https://huggingface.co/... | {"language": ["en"], "license": "cc-by-4.0", "library_name": "transformers", "tags": ["llama"], "pipeline_tag": "text-generation"} | SolidSnacke/KuroMitsu-11B-i-GGUF | null | [
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"en"
] | TAGS
#transformers #gguf #llama #text-generation #en #license-cc-by-4.0 #endpoints_compatible #region-us
|
I made a couple more models just for fun. I can’t vouch for the quality, since I didn’t do any tests.
Link to the original model and the script with which I created these models:
- Himitsui/KuroMitsu-11B: URL
- FantasiaFoundry/GGUF-Quantization-Script: URL | [] | [
"TAGS\n#transformers #gguf #llama #text-generation #en #license-cc-by-4.0 #endpoints_compatible #region-us \n"
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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. -->
# canine-rando-30-chars-5-epoch
This model is a fine-tuned version of [google/canine-c](https://huggingface.co/google/canine-c) on... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/canine-c", "model-index": [{"name": "canine-rando-30-chars-5-epoch", "results": []}]} | addykan/canine-rando-30-chars-5-epoch | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T23:22:38+00:00 | [] | [] | TAGS
#transformers #safetensors #canine #text-classification #generated_from_trainer #base_model-google/canine-c #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| canine-rando-30-chars-5-epoch
=============================
This model is a fine-tuned version of google/canine-c on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6015
* Accuracy: 0.7066
Model description
-----------------
More information needed
Intended uses & limita... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
"### Training... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_train_Instruction0_ASPOL_h3
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_ASPOL_h3", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_ASPOL_h3 | null | [
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"t5",
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-20T23:24:28+00:00 | [] | [] | TAGS
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|
# CS505_COQE_viT5_train_Instruction0_ASPOL_h3
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
"# CS505_COQE_viT5_train_Instruction0_ASPOL_h3\n\nThis model is a fine-tuned version of VietAI/vit5-large on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## T... | [
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object-detection | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "apache-2.0", "tags": ["object-detection", "vision", "generated_from_trainer"], "base_model": "hustvl/yolos-small", "model-index": [{"name": "hustvl-yolos-small-finetuned-10k-cppe5", "results": []}]} | qubvel-hf/hustvl-yolos-small-finetuned-10k-cppe5 | null | [
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"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T23:25:45+00:00 | [] | [] | TAGS
#transformers #safetensors #yolos #object-detection #vision #generated_from_trainer #base_model-hustvl/yolos-small #license-apache-2.0 #endpoints_compatible #region-us
| <img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
hustvl-yolos-small-finetuned-10k-cppe5
======================================
This model is a fine-tuned version of hustvl/yolos-small on the cppe-5 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4674
* Map: 0... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 1337\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 100.0\n* mixed\\_... | [
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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. -->
# amazon_helpfulness_classification_on_TAPT_pretrained_full_train
This model is a fine-tuned version of [ltuzova/tapt_helpfulness_... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "ltuzova/tapt_helpfulness_base_pretraining_model_full_train", "model-index": [{"name": "amazon_helpfulness_classification_on_TAPT_pretrained_full_train", "results": []}]} | ltuzova/amazon_helpfulness_classification_on_TAPT_pretrained_full_train | null | [
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"license:mit",
"autotrain_compatible",
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"region:us"
] | null | 2024-04-20T23:27:48+00:00 | [] | [] | TAGS
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| amazon\_helpfulness\_classification\_on\_TAPT\_pretrained\_full\_train
======================================================================
This model is a fine-tuned version of ltuzova/tapt\_helpfulness\_base\_pretraining\_model\_full\_train on an unknown dataset.
It achieves the following results on the evaluatio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio:... | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-ltuzova/tapt_helpfulness_base_pretraining_model_full_train #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
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text-generation | transformers |
# Model Card for Model ID
Optimum GPTQ quantized 8-bit version of Mixtral-8x22B-Instruct-v0.1 \
WIP - do not use currently \
See original model card for more information.
# How to load
| {"library_name": "transformers", "tags": []} | jarrelscy/Mixtral-8x22B-Instruct-v0.1-GPTQ-8bit | null | [
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"mixtral",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-20T23:32:15+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
|
# Model Card for Model ID
Optimum GPTQ quantized 8-bit version of Mixtral-8x22B-Instruct-v0.1 \
WIP - do not use currently \
See original model card for more information.
# How to load
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null | null | https://civitai.com/models/410359/fenrys-lv2-kara-cheat-datta-motoyuusha-kouho-no-mattari-isekai-life | {"license": "creativeml-openrail-m"} | LarryAIDraw/Fenrys | null | [
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-20T23:32:25+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
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null | null | https://civitai.com/models/104171/hifumi-takimoto-new-game | {"license": "creativeml-openrail-m"} | LarryAIDraw/hifumi-newgame-01 | null | [
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-20T23:32:49+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
| URL | [] | [
"TAGS\n#license-creativeml-openrail-m #region-us \n"
] | [
15
] | [
"TAGS\n#license-creativeml-openrail-m #region-us \n"
] |
null | null | https://civitai.com/models/408784/nakano-miku | {"license": "creativeml-openrail-m"} | LarryAIDraw/nakano_miku | null | [
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-20T23:33:18+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
| URL | [] | [
"TAGS\n#license-creativeml-openrail-m #region-us \n"
] | [
15
] | [
"TAGS\n#license-creativeml-openrail-m #region-us \n"
] |
null | null | https://civitai.com/models/409365/anis-nikke-swimsuit | {"license": "creativeml-openrail-m"} | LarryAIDraw/anis_bikini | null | [
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-20T23:33:44+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
| URL | [] | [
"TAGS\n#license-creativeml-openrail-m #region-us \n"
] | [
15
] | [
"TAGS\n#license-creativeml-openrail-m #region-us \n"
] |
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