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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | rPucs/gemma-2b-itTripletDolly-Rebel | null | [
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"1910.09700"
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#transformers #safetensors #gemma #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-31m_ian-022_IMDB_n-its-10
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://huggingface.co... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-31m_ian-022_IMDB_n-its-10", "results": []}]} | AlignmentResearch/robust_llm_pythia-31m_ian-022_IMDB_n-its-10 | null | [
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|
# robust_llm_pythia-31m_ian-022_IMDB_n-its-10
This model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
#... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | HarshaniMadhushaniBandara/Final_llama2-7B-lora-r-32 | null | [
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#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
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- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
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- bnb_4bit_quant_type: nf4
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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | bharathirajan89/whisper_5k_rows_large_v3_CRED_v0 | null | [
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | | ํ๋ผ๋ฏธํฐ | ๊ฐ |
|----------|-----|
| Task | Book (์ฌํ๊ณผํ, ๊ธฐ์ ๊ณผํ, ์ฒ ํ, ๋ฒํ, ์์ ๋ฑ) |
| ๋ฐ์ดํฐ ํฌ๊ธฐ | 5000๊ฐ |
| ๋ชจ๋ธ | qlora |
| max_seq_length | 1024 |
| num_train_epochs | 3 |
| per_device_train_batch_size | 8 |
| gradient_accumulation_steps | 32 |
| evaluation_strategy | "steps" |
| eval_steps | 2000 |
| logging_steps | 25 |
... | {} | ryanu/EEVE-10.8-BOOK-v0.1 | null | [
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#transformers #safetensors #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
Summary
=======
Book
Paper
RAG Q&A
=======
prompt template
---------------
๋ค์ ๋ฌธ์ฅ์ 3~5๋ฌธ์ฅ์ผ๋ก ๋ฐ๋ณต๋๋ ๊ตฌ๋ฌธ์์ด ํ
์คํธ์ ์ ์๋ ์ฃผ์ ๋
ผ๊ฑฐ๋ฅผ ๊ฐ๋ตํ๊ฒ ์์ฝํด์ค.
๋ฌธ์ฅ: {context}
์์ฝ: {summary}
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null | transformers | # Mixtral-8x22B
> [!TIP]
> MistralAI has uploaded weights to their organization at [mistralai/Mixtral-8x22B-v0.1](https://huggingface.co/mistralai/Mixtral-8x22B-v0.1) and [mistralai/Mixtral-8x22B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1) too.
> [!TIP]
> Kudos to [@v2ray](https://hu... | {"language": ["fr", "it", "de", "es", "en"], "license": "apache-2.0", "tags": ["moe"], "model-index": [{"name": "Mixtral-8x22B-v0.1", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config": "ARC-Challenge", "split... | AdinaM/hackathon_datacrowd | null | [
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#transformers #safetensors #llama #moe #fr #it #de #es #en #license-apache-2.0 #model-index #endpoints_compatible #text-generation-inference #region-us
| Mixtral-8x22B
=============
>
> [!TIP]
> MistralAI has uploaded weights to their organization at mistralai/Mixtral-8x22B-v0.1 and mistralai/Mixtral-8x22B-Instruct-v0.1 too.
>
>
>
>
> [!TIP]
> Kudos to @v2ray for converting the checkpoints and uploading them in 'transformers' compatible format. Go give them a... | [
"### In half-precision\n\n\nNote 'float16' precision only works on GPU devices\n\n\n\n Click to expand",
"### Lower precision using (8-bit & 4-bit) using 'bitsandbytes'\n\n\n\n Click to expand",
"### Load the model with Flash Attention 2\n\n\n\n Click to expand \n\nNotice\n------\n\n\nMixtral-8x22B-v0.1 is a pr... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-tiny-en
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the P... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["PolyAI/minds14"], "metrics": ["wer"], "base_model": "openai/whisper-tiny", "model-index": [{"name": "whisper-tiny-en", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "P... | ThatOrJohn/whisper-tiny-en | null | [
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"license:apache-2.0",
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#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #dataset-PolyAI/minds14 #base_model-openai/whisper-tiny #license-apache-2.0 #model-index #endpoints_compatible #region-us
| whisper-tiny-en
===============
This model is a fine-tuned version of openai/whisper-tiny on the PolyAI/minds14 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6634
* Wer Ortho: 0.3282
* Wer: 0.3294
Model description
-----------------
More information needed
Intended uses & limitat... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: constant\\_with\\_warmup\n* lr\\_schedule... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# PolizzeDonut-CR-ProvaCluster3-7Epochs-WD0.01
This model is a fine-tuned version of [tedad09/PolizzeDonut-ChangeRequest-imm5epoch... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0", "model-index": [{"name": "PolizzeDonut-CR-ProvaCluster3-7Epochs-WD0.01", "results": []}]} | tedad09/PolizzeDonut-CR-ProvaCluster3-7Epochs-WD0.01 | null | [
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|
# PolizzeDonut-CR-ProvaCluster3-7Epochs-WD0.01
This model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More inform... | [
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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/dumbo-krillin55 | 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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | yoelvis/singularity_test_1 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | abhayesian/BobzillaV28 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | josianem/invoices-donut-model-v1 | null | [
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#transformers #safetensors #vision-encoder-decoder #arxiv-1910.09700 #endpoints_compatible #region-us
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | 1.5GBใงๅๆจๅฎใLlamaTokenizerๅฝขๅผใ
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#region-us
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-410m_ian-022_PasswordMatch_n-its-10
This model is a fine-tuned version of [EleutherAI/pythia-410m](https://hug... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-410m", "model-index": [{"name": "robust_llm_pythia-410m_ian-022_PasswordMatch_n-its-10", "results": []}]} | AlignmentResearch/robust_llm_pythia-410m_ian-022_PasswordMatch_n-its-10 | null | [
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"region:us"
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|
# robust_llm_pythia-410m_ian-022_PasswordMatch_n-its-10
This model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
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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... | vpib/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-18T14:39:52+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
text-generation | transformers | # 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 SLERP merge method.
### Models Merged
The following models were included in the merge:
* [tomaszki/stablelm-37](https://huggingface.c... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["tomaszki/stablelm-37", "tomaszki/stablelm-38"]} | Sumail/Ame15 | null | [
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"autotrain_compatible",
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"region:us"
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* tomaszki/stablelm-37
* tomaszki/stablelm-38
### Configuration
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-70m_ian-022_IMDB_n-its-10
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "robust_llm_pythia-70m_ian-022_IMDB_n-its-10", "results": []}]} | AlignmentResearch/robust_llm_pythia-70m_ian-022_IMDB_n-its-10 | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T14:42:21+00:00 | [] | [] | TAGS
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|
# robust_llm_pythia-70m_ian-022_IMDB_n-its-10
This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
#... | [
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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | adammoss/gpt-pretrain-lm-w1 | null | [
"transformers",
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"endpoints_compatible",
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#transformers #safetensors #gptmodel #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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- License... | [
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text-classification | transformers |
# albertmartinez/bert-multilingual-sdg-classification
This model (BERT) is for classifying text with respect to the United Nations sustainable development goals (SDG).
### Training results
| epoch | eval_loss | eval_accuracy | eval_precision | eval_recall | eval_f1 |
|:-----:|:-... | {"license": "mit", "datasets": ["albertmartinez/OSDG"], "metrics": ["accuracy", "precision", "recall", "f1"], "pipeline_tag": "text-classification", "widget": [{"text": "Between the Social and the Spatial - Exploring Multiple Dimensions of Poverty and Social Exclusion, Ashgate. Poverty in Europe and the USA, Exchanging... | albertmartinez/bert-multilingual-sdg-classification | null | [
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#transformers #onnx #safetensors #bert #text-classification #dataset-albertmartinez/OSDG #license-mit #autotrain_compatible #endpoints_compatible #region-us
| albertmartinez/bert-multilingual-sdg-classification
===================================================
This model (BERT) is for classifying text with respect to the United Nations sustainable development goals (SDG).
### Training results
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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 SLERP merge method.
### Models Merged
The following models were included in the merge:
* [tomaszki/stablelm-37](https://huggingface.c... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["tomaszki/stablelm-37", "tomaszki/stablelm-38"]} | Sumail/Ame16 | null | [
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"autotrain_compatible",
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"region:us"
] | null | 2024-04-18T14:43:09+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* tomaszki/stablelm-37
* tomaszki/stablelm-38
### Configuration
The following YAM... | [
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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... | TaniaSF/ppo-LunarLander-v2 | null | [
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"region:us"
] | null | 2024-04-18T14:44:58+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
text-generation | transformers | Prompt Example:
```
### System:
You are an AI assistant. User will give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.
### User:
How do you fine tune a large language model?
### Assistant:
``` | {} | KnutJaegersberg/Deita-32b-exl2-8.0bpw | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-18T14:46:28+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Prompt Example:
| [] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n"
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] |
unconditional-image-generation | diffusers |
# Model Card for Unit 1 of the [Diffusion Models Class ๐งจ](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute ๐ฆ.
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('Nals020/sd-class-butterflie... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | Nals020/sd-class-butterflies-32 | null | [
"diffusers",
"safetensors",
"pytorch",
"unconditional-image-generation",
"diffusion-models-class",
"license:mit",
"diffusers:DDPMPipeline",
"region:us"
] | null | 2024-04-18T14:47:08+00:00 | [] | [] | TAGS
#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 | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | gadolly/BARTArabic_tafseer | null | [
"peft",
"tensorboard",
"region:us"
] | null | 2024-04-18T14:47:19+00:00 | [] | [] | TAGS
#peft #tensorboard #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | [
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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 SLERP merge method.
### Models Merged
The following models were included in the merge:
* [coffie3/mx77](https://huggingface.co/coffie... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["coffie3/mx77", "coffie3/mx8"]} | Sumail/Ame17 | null | [
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"text-generation",
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"base_model:coffie3/mx77",
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T14:51:30+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #mergekit #merge #conversational #base_model-coffie3/mx77 #base_model-coffie3/mx8 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* coffie3/mx77
* coffie3/mx8
### Configuration
The following YAML configuration w... | [
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text-generation | transformers |
# Model Card for free-solar-evo-v0.1
## Developed by : [Freewheelin](https://freewheelin-recruit.oopy.io/) AI Technical Team
## Method
- We were inspired by this [Sakana project](https://sakana.ai/evolutionary-model-merge/)
## Base Model
- [hwkwon/S-SOLAR-10.7B-v1.5](https://huggingface.co/hwkwon/S-SOLAR-10.7B-v1.... | {"language": ["ko", "en"], "license": "mit"} | freewheelin/free-solar-evo-v0.1 | null | [
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"llama",
"text-generation",
"ko",
"en",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T14:51:42+00:00 | [] | [
"ko",
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #ko #en #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for free-solar-evo-v0.1
## Developed by : Freewheelin AI Technical Team
## Method
- We were inspired by this Sakana project
## Base Model
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null | null |
# Overview
The Mistral Debiaser Model is designed to enhance content moderation and fairness across various digital platforms.
It leverages the safety features and debiasing capabilities of the Mistral Model, organizations can ensure more equitable user interactions and content delivery.
## Key Applications
### Cont... | {"datasets": ["newsmediabias/Bias-DeBiased"]} | newsmediabias/Mistral-unbiaser | null | [
"safetensors",
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"region:us"
] | null | 2024-04-18T14:53:42+00:00 | [] | [] | TAGS
#safetensors #dataset-newsmediabias/Bias-DeBiased #region-us
|
# Overview
The Mistral Debiaser Model is designed to enhance content moderation and fairness across various digital platforms.
It leverages the safety features and debiasing capabilities of the Mistral Model, organizations can ensure more equitable user interactions and content delivery.
## Key Applications
### Cont... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** ppopiolek
- **License:** apache-2.0
- **Finetuned from model :** TinyLlama/TinyLlama-1.1B-Chat-v1.0
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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", "widget": [{"example_title": "Fibonacci (Python)", "messages": [{"role": "system", "content": "You are an all-knowing chatbot!"}, {"role": "... | ppopiolek/tinyllama_merged_test | null | [
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"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T14:54:01+00:00 | [] | [
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| Uploaded model
==============
* Developed by: ppopiolek
* License: apache-2.0
* Finetuned from model : TinyLlama/TinyLlama-1.1B-Chat-v1.0
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
Open LLM Leaderboard Evaluation Results
=======================... | [] | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Sao10K/Lila-70B-L2
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Lila-70B-L2-i1-GGUF
##... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "base_model": "Sao10K/Lila-70B-L2", "quantized_by": "mradermacher"} | mradermacher/Lila-70B-L2-GGUF | null | [
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"base_model:Sao10K/Lila-70B-L2",
"license:cc-by-nc-4.0",
"endpoints_compatible",
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"en"
] | TAGS
#transformers #gguf #en #base_model-Sao10K/Lila-70B-L2 #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HachiML/Swallow-MS-7b-v0.1-ChatSkill-LAB-Evo-v0.5 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T14:55:32+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Cebuano - Sanchit Gandhi
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/opena... | {"language": ["hi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["ahoka/ceb-eng"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Cebuano - Sanchit Gandhi", "results": []}]} | ahoka/whisper-small-ceb-eng | null | [
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|
# Whisper Small Cebuano - Sanchit Gandhi
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | CognitoLibera2/model_s9_7b_0 | null | [
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"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
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"region:us"
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#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | NeerajSantosh/code_llama_thursday_try | null | [
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"text-generation",
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | null | \rใจ\tใ่ฟฝๅ ใ | {} | miya-99999/test_5 | null | [
"region:us"
] | null | 2024-04-18T14:56:55+00:00 | [] | [] | TAGS
#region-us
| \rใจ\tใ่ฟฝๅ ใ | [] | [
"TAGS\n#region-us \n"
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5
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/allenai/tulu-v1-llama2-70b
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/tulu-v1-llama2... | {"language": ["en"], "library_name": "transformers", "datasets": ["allenai/tulu-v1-sft-mixture"], "base_model": "allenai/tulu-v1-llama2-70b", "quantized_by": "mradermacher"} | mradermacher/tulu-v1-llama2-70b-GGUF | null | [
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"dataset:allenai/tulu-v1-sft-mixture",
"base_model:allenai/tulu-v1-llama2-70b",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T14:57:29+00:00 | [] | [
"en"
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#transformers #gguf #en #dataset-allenai/tulu-v1-sft-mixture #base_model-allenai/tulu-v1-llama2-70b #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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] |
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. -->
# mbart-neutralization
This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large... | {"license": "mit", "tags": ["simplification", "generated_from_trainer"], "metrics": ["bleu"], "base_model": "facebook/mbart-large-50", "model-index": [{"name": "mbart-neutralization", "results": []}]} | lauragordo/mbart-neutralization | null | [
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"mbart",
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"generated_from_trainer",
"base_model:facebook/mbart-large-50",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T15:01:40+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #mbart #text2text-generation #simplification #generated_from_trainer #base_model-facebook/mbart-large-50 #license-mit #autotrain_compatible #endpoints_compatible #region-us
| mbart-neutralization
====================
This model is a fine-tuned version of facebook/mbart-large-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3811
* Bleu: 27.762
* Gen Len: 19.53
Model description
-----------------
More information needed
Intended uses & lim... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5.6e-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: 2",
"### Traini... | [
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text-generation | transformers |
This is an <a href="https://github.com/mobiusml/hqq/">HQQ</a> 4-bit quantized <a href="https://huggingface.co/meta-llama/Llama-2-7b-chat-hf"> Llama2-7B-chat model </a> <i>without grouping</i> using a low-rank adapter to improve the performance (referred to as <a href="https://mobiusml.github.io/1bit_blog/">HQQ+</a>). ... | {"license": "llama2", "train": false, "inference": false, "pipeline_tag": "text-generation"} | mobiuslabsgmbh/Llama-2-7b-chat-hf_4bitnogs_hqq | null | [
"transformers",
"text-generation",
"license:llama2",
"region:us"
] | null | 2024-04-18T15:03:57+00:00 | [] | [] | TAGS
#transformers #text-generation #license-llama2 #region-us
| This is an <a href="URL 4-bit quantized <a href="URL Llama2-7B-chat model *without grouping* using a low-rank adapter to improve the performance (referred to as <a href="URL
This model doesn't use grouping to make it compatible with the fast <a href="URL inference kernel.
Running quantized models efficiently for ... | [] | [
"TAGS\n#transformers #text-generation #license-llama2 #region-us \n"
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17
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | HarshaniMadhushaniBandara/Final_llama2-7B-lora-r-128 | null | [
"peft",
"region:us"
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#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-14m_ian-022_IMDB_n-its-10
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingface.co... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-14m_ian-022_IMDB_n-its-10", "results": []}]} | AlignmentResearch/robust_llm_pythia-14m_ian-022_IMDB_n-its-10 | null | [
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"safetensors",
"gpt_neox",
"text-classification",
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"base_model:EleutherAI/pythia-14m",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T15:07:25+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-14m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-14m_ian-022_IMDB_n-its-10
This model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
#... | [
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... | [
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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... | Greixida/RLCourse | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-18T15:07:45+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
fill-mask | 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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | udmurtNLP/zerpal-rubert-tiny2-v2 | null | [
"transformers",
"safetensors",
"bert",
"fill-mask",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T15:09:45+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #fill-mask #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# output_dir
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dat... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-uncased", "model-index": [{"name": "output_dir", "results": []}]} | jmseo1204/output_dir | null | [
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"bert",
"question-answering",
"generated_from_trainer",
"base_model:bert-base-uncased",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
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#transformers #tensorboard #safetensors #bert #question-answering #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
| output\_dir
===========
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.2567
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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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. -->
# spark-name-es-to-en
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-en](https://huggingface.co/Helsinki-NLP/opus-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "Helsinki-NLP/opus-mt-es-en", "model-index": [{"name": "spark-name-es-to-en", "results": []}]} | ihebaker10/spark-name-es-to-en | null | [
"transformers",
"tensorboard",
"safetensors",
"marian",
"text2text-generation",
"generated_from_trainer",
"base_model:Helsinki-NLP/opus-mt-es-en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T15:09:57+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #marian #text2text-generation #generated_from_trainer #base_model-Helsinki-NLP/opus-mt-es-en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| spark-name-es-to-en
===================
This model is a fine-tuned version of Helsinki-NLP/opus-mt-es-en on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7762
* Bleu: 60.1118
* Gen Len: 6.3697
Model description
-----------------
More information needed
Intended uses & li... | [
"### 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: 3",
"### Traini... | [
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feature-extraction | transformers | # medical-1000-64-16-jinaai_jina-embeddings-v2-small-en-1000-gpt-3.5-tur_9062874564
## Model Description
medical-1000-64-16-jinaai_jina-embeddings-v2-small-en-1000-gpt-3.5-tur_9062874564 is a fine-tuned version of jinaai/jina-embeddings-v2-small-en designed for a specific domain.
## Use Case
This model is designed t... | {} | florianhoenicke/medical-1000-64-16-jinaai_jina-embeddings-v2-small-en-1000-gpt-3.5-tur_9062874564 | null | [
"transformers",
"safetensors",
"bert",
"feature-extraction",
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#transformers #safetensors #bert #feature-extraction #custom_code #endpoints_compatible #region-us
| # medical-1000-64-16-jinaai_jina-embeddings-v2-small-en-1000-gpt-3.5-tur_9062874564
## Model Description
medical-1000-64-16-jinaai_jina-embeddings-v2-small-en-1000-gpt-3.5-tur_9062874564 is a fine-tuned version of jinaai/jina-embeddings-v2-small-en designed for a specific domain.
## Use Case
This model is designed t... | [
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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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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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null | null | Q5_K_M GGUF version of Wizard-Kun-Lake_3x7B-MoE (https://huggingface.co/WesPro/Wizard-Kun-Lake_3x7B-MoE). It's meant to be used for RP or at least that's what I made it for. | {} | WesPro/Wizard-Kun-Lake_3x7B-MoE_Q5_K_M | 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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | CognitoLibera2/model_s9_7b_01 | 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. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | 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. -->
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
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- _load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
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#peft #model-index #has_space #region-us
| Training procedure
------------------
The following 'bitsandbytes' quantization config was used during training:
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* \_load\_in\_4bit: True
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* llm\_int8\_h... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# layoutlm-funsd-tf
This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-ba... | {"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "microsoft/layoutlm-base-uncased", "model-index": [{"name": "layoutlm-funsd-tf", "results": []}]} | MouadUser/layoutlm-funsd-tf | null | [
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| layoutlm-funsd-tf
=================
This model is a fine-tuned version of microsoft/layoutlm-base-uncased on an unknown dataset.
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* Validation Loss: 0.6723
* Train Overall Precision: 0.7420
* Train Overall Recall: 0.7978
* Train Overall F1... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers | Prompt Template
"instruction,output": "Code-Assistant-Request: %instruction%\n\n### Code:\n%output%", | {"license": "cc-by-4.0"} | TroyDoesAI/Mermaid_PythonCoder | null | [
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text-generation | transformers |
New Prompt Template.
"instruction,input,output": "Mermaid-Generator-Request: %instruction%\n\n### Input:\n%input%\n\n### Mermaid:\n%output%"
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New Prompt Template.
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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-Pixelcopter-PLE-v0", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelco... | spietari/Reinforce-Pixelcopter-PLE-v0 | null | [
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"custom-implementation",
"deep-rl-class",
"model-index",
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#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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null | diffusers | # Marigold Normals Model Card
This model belongs to the family of diffusion-based Marigold models for solving various computer vision tasks.
The Marigold Normals model focuses on the surface normals task.
It takes an input image and computes surface normals in each pixel.
The Marigold Normals model is trained from Sta... | {"language": ["en"], "license": "apache-2.0", "tags": ["monocular normals estimation", "single image normals estimation", "normals", "in-the-wild", "zero-shot"], "pipeline_tag": "normals-estimation"} | prs-eth/marigold-normals-v0-1 | null | [
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| # Marigold Normals Model Card
This model belongs to the family of diffusion-based Marigold models for solving various computer vision tasks.
The Marigold Normals model focuses on the surface normals task.
It takes an input image and computes surface normals in each pixel.
The Marigold Normals model is trained from Sta... | [
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text-generation | transformers | # Model Card
## Summary
This model was trained using [H2O LLM Studio](https://github.com/h2oai/h2o-llmstudio).
- Base model: [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)
## Usage
To use the model with the `transformers` library on a machine with GPUs, first make sure you have the `t... | {"language": ["en"], "library_name": "transformers", "tags": ["gpt", "llm", "large language model", "h2o-llmstudio"], "inference": false, "thumbnail": "https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico"} | mwalol/full-funny-specialmath-classifier | null | [
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| # Model Card
## Summary
This model was trained using H2O LLM Studio.
- Base model: mistralai/Mistral-7B-v0.1
## Usage
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bart-base-news-summarization
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-bas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-base", "model-index": [{"name": "bart-base-news-summarization", "results": []}]} | yatharth97/bart-base-news-summarization | null | [
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|
# bart-base-news-summarization
This model is a fine-tuned version of facebook/bart-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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### Training hyperp... | [
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null | transformers | ## About
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static quants of URL
weighted/imatrix quants are available at URL
Usage
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If you are unsure how to use GGUF files, refer to one of TheBloke's
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Provided Quants
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fill-mask | 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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | abbassix/arithmetic_model | null | [
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"safetensors",
"bert",
"fill-mask",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | rPucs/gemma-7b-itTripletDolly-Rebel | null | [
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text-generation | transformers |
# WizardLM-2-8x22B - EXL2 3.75bpw
This is a 3.75bpw EXL2 quant of [microsoft/WizardLM-2-8x22B](https://huggingface.co/microsoft/WizardLM-2-8x22B)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 m... | {"language": ["en"], "license": "apache-2.0", "tags": ["exl2"], "base_model": "microsoft/WizardLM-2-8x22B"} | Dracones/WizardLM-2-8x22B_exl2_3.75bpw | null | [
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| WizardLM-2-8x22B - EXL2 3.75bpw
===============================
This is a 3.75bpw EXL2 quant of microsoft/WizardLM-2-8x22B
Details about the model can be found at the above model page.
EXL2 Version
------------
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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. -->
# imdb-spoiler-robertaOrigDatasetLR3
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/Facebo... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "recall", "precision", "f1"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "imdb-spoiler-robertaOrigDatasetLR3", "results": []}]} | Zritze/imdb-spoiler-robertaOrigDatasetLR3 | null | [
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| imdb-spoiler-robertaOrigDatasetLR3
==================================
This model is a fine-tuned version of FacebookAI/roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5746
* Accuracy: 0.7214
* Recall: 0.67
* Precision: 0.7467
* F1: 0.7063
Model description
----... | [
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null | transformers | This model was created solely as a means to recognize 1 (one) logo. Use with caution. Heavily borrowed from "sd_dreambooth_training.ipyn" a great model. | {"license": "mit"} | iamPony/logo_recognition | null | [
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| This model was created solely as a means to recognize 1 (one) logo. Use with caution. Heavily borrowed from "sd_dreambooth_training.ipyn" a great model. | [] | [
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text-to-audio | 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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Liphos/French-SpeechT5-TTS | null | [
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"1910.09700"
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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. -->
# output-dpo
This model is a fine-tuned version of [geniacllm/dMoEHf2](https://huggingface.co/geniacllm/dMoEHf2) on an unknown dat... | {"tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "geniacllm/dMoEHf2", "model-index": [{"name": "output-dpo", "results": []}]} | hironow/output-dpo | null | [
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| output-dpo
==========
This model is a fine-tuned version of geniacllm/dMoEHf2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6931
* Rewards/chosen: 0.0
* Rewards/rejected: 0.0
* Rewards/accuracies: 0.0
* Rewards/margins: 0.0
* Logps/rejected: -656.3051
* Logps/chosen: -677... | [
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text-classification | transformers |
The label taxonomy:
categories = [
'linguistics',
'factual information (general or professional), history or common practices',
'recommendation',
'tips, opinions or advice',
'analysis or decision explanation',
'mathematical reasoning or calculation',
'logical reasoning',
'coding',
... | {"license": "apache-2.0"} | valpy/prompt-classification | null | [
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The label taxonomy:
categories = [
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'factual information (general or professional), history or common practices',
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'analysis or decision explanation',
'mathematical reasoning or calculation',
'logical reasoning',
'coding',
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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | CognitoLibera2/model_s9_7b_02 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
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- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/TroyDoesAI/Mermaid_PythonCoder
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not s... | {"language": ["en"], "license": "cc-by-4.0", "library_name": "transformers", "base_model": "TroyDoesAI/Mermaid_PythonCoder", "quantized_by": "mradermacher"} | mradermacher/Mermaid_PythonCoder-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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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": "codellama/CodeLlama-7b-Instruct-hf"} | mingyue0101/super-cool-instruct | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License:
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### Model Sources [optional]
- Repository:
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# DreamBooth - ivanboring/airpods
This is a dreambooth model derived from stabilityai/stable-diffusion-2. The weights wer... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "base_model": "stabilityai/stable-diff... | ivanboring/airpods | null | [
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|
# DreamBooth - ivanboring/airpods
This is a dreambooth model derived from stabilityai/stable-diffusion-2. The weights were trained on A photo of the in ear earphones airpodswithdisplay using DreamBooth.
You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
| [
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text-generation | transformers | <div align="center">
<img src="https://raw.githubusercontent.com/imoneoi/openchat/master/assets/logo_new.png" style="width: 65%">
<h1>Advancing Open-source Language Models with Mixed-Quality Data</h1>
</div>
<p align="center" style="margin-top: 0px;">
<a href="https://openchat.team">
<img src="https://github... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["openchat", "mistral", "C-RLFT"], "base_model": "mistralai/Mistral-7B-v0.1", "pipeline_tag": "text-generation"} | fmsys/openchat.openchat-3.5-0106 | null | [
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|
Advancing Open-source Language Models with Mixed-Quality Data
=============================================================
[](URL) |
GitHub
|
Paper
|
Discord
Sponsored by RunPod
[OPENCHAT3.5
0106
The Overall Best Performing Open Source 7B Model
... | [
"### Table of Contents\n\n\n\n1. Usage\n2. Benchmarks\n3. Limitations\n4. License\n5. Citation\n6. Acknowledgements\n\n\n\n Usage\n------\n\n\n\nTo use this model, we highly recommend installing the OpenChat package by following the installation guide in our repository and using the OpenChat OpenAI-compatible API ... | [
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null | transformers |
# Uploaded model
- **Developed by:** katkout2313
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "gguf"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | katkout2313/mistral-for-becnhmarks-finetunedFinal | null | [
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|
# Uploaded model
- Developed by: katkout2313
- 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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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. -->
# mbart-neutralization
This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large... | {"license": "mit", "tags": ["simplification", "generated_from_trainer"], "metrics": ["bleu"], "base_model": "facebook/mbart-large-50", "model-index": [{"name": "mbart-neutralization", "results": []}]} | el-filatova/mbart-neutralization | null | [
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] | null | 2024-04-18T16:04:12+00:00 | [] | [] | TAGS
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| mbart-neutralization
====================
This model is a fine-tuned version of facebook/mbart-large-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9236
* Bleu: 28.8931
* Gen Len: 87.5959
Model description
-----------------
More information needed
Intended uses & ... | [
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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | rPucs/Mistral-7B-Instruct-v0.2TripletDolly-Rebel | 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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | domenicrosati/adversarial_loss_lr_1e-5_attack_meta-llama_Llama-2-7b-chat-hf_8_3e-5_1k | null | [
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audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-base-finetuned-gtzan
This model is a fine-tuned version of [saketag73/classification_facebook_wav2vec2-base-finetuned-g... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["marsyas/gtzan"], "metrics": ["accuracy"], "base_model": "saketag73/classification_facebook_wav2vec2-base-finetuned-gtzan-2", "model-index": [{"name": "wav2vec2-base-finetuned-gtzan", "results": [{"task": {"type": "audio-classification", "name":... | saketag73/classification_facebook_wav2vec2-base-finetuned-gtzan-4 | null | [
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| wav2vec2-base-finetuned-gtzan
=============================
This model is a fine-tuned version of saketag73/classification\_facebook\_wav2vec2-base-finetuned-gtzan-2 on the GTZAN dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7271
* Accuracy: 0.805
Model description
-----------------
... | [
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text-to-audio | 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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | procit001/female_english_voice | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
This repository is forked from [OFAๆๅญ่ฏๅซ-ไธญๆ-้็จๅบๆฏ-base ยท modelscope](https://modelscope.cn/models/iic/ofa_ocr-recognition_general_base_zh/summary) | {"license": "apache-2.0", "tags": ["Alibaba", "ICML2022", "arxiv:2202.03052"]} | sakana-yu/ofa_ocr-recognition_general_base_zh | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama-2-7b-miniplatypus-1K
This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearc... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "NousResearch/Llama-2-7b-hf", "model-index": [{"name": "llama-2-7b-miniplatypus-1K", "results": []}]} | garg-aayush/llama-2-7b-miniplatypus-1K | null | [
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|
# llama-2-7b-miniplatypus-1K
This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training ... | [
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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. -->
# cnn_news_summary_model_trained_on_reduced_data
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small)... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "cnn_news_summary_model_trained_on_reduced_data", "results": []}]} | alz258/cnn_news_summary_model_trained_on_reduced_data | null | [
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| cnn\_news\_summary\_model\_trained\_on\_reduced\_data
=====================================================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6040
* Rouge1: 0.2178
* Rouge2: 0.094
* Rougel: 0.1839
* Rougelsum: 0.1... | [
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text-generation | transformers |
# EEVE-Korean-Instruct-10.8B-v1.0-int4
- Orginal model : [yanolja/EEVE-Korean-Instruct-10.8B-v1.0](https://huggingface.co/yanolja/EEVE-Korean-Instruct-10.8B-v1.0)
- Quantized using [intel/auto-round](https://github.com/intel/auto-round)
## Description
**EEVE-Korean-Instruct-10.8B-v1.0-int4** is an int4 model with... | {"license": "apache-2.0", "tags": ["text-generation-inference"], "pipeline_tag": "text-generation"} | ssuncheol/EEVE-Korean-Instruct-10.8B-v1.0-int4 | null | [
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|
# EEVE-Korean-Instruct-10.8B-v1.0-int4
- Orginal model : yanolja/EEVE-Korean-Instruct-10.8B-v1.0
- Quantized using intel/auto-round
## Description
EEVE-Korean-Instruct-10.8B-v1.0-int4 is an int4 model with group_size 128 of the yanolja/EEVE-Korean-Instruct-10.8B-v1.0.
The above model was quantized using AutoRoun... | [
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text-generation | transformers | # **ConvAI-9b: A Conversational AI Model**
## **1. Model Details**
* **Model Name:** ConvAI-9b
* **Authors:** Creitin... | {"language": ["en"], "license": "mit", "datasets": ["CreitinGameplays/merged-data-v2"], "base_model": ["HuggingFaceH4/zephyr-7b-beta", "mistral-community/Mistral-7B-v0.2"]} | CreitinGameplays/ConvAI-9b | null | [
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| # ConvAI-9b: A Conversational AI Model
!img
## 1. Model Details
* Model Name: ConvAI-9b
* Authors: CreitinGameplays
* Date: April 18th, 2024
## 2. Model Description
ConvAI-9b is a fine-tuned conversational AI model with 9 billion parameters. It is based on the following models:
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | LisiyLexa/mistral_7b_promptist | null | [
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# Model Card for Model ID
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### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-generation | mlx |
# mlx-community/Meta-Llama-3-8B-Instruct-4bit
This model was converted to MLX format from [`meta-llama/Meta-Llama-3-8B-Instruct`]() using mlx-lm version **0.9.0**.
Model added by [Prince Canuma](https://twitter.com/Prince_Canuma).
Refer to the [original model card](https://huggingface.co/meta-llama/Meta-Llama-3-8B-I... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "mlx"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"A... | mlx-community/Meta-Llama-3-8B-Instruct-4bit | null | [
"mlx",
"safetensors",
"llama",
"facebook",
"meta",
"pytorch",
"llama-3",
"text-generation",
"conversational",
"en",
"license:other",
"region:us"
] | null | 2024-04-18T16:15:51+00:00 | [] | [
"en"
] | TAGS
#mlx #safetensors #llama #facebook #meta #pytorch #llama-3 #text-generation #conversational #en #license-other #region-us
|
# mlx-community/Meta-Llama-3-8B-Instruct-4bit
This model was converted to MLX format from ['meta-llama/Meta-Llama-3-8B-Instruct']() using mlx-lm version 0.9.0.
Model added by Prince Canuma.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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text-generation | mlx |
# mlx-community/Meta-Llama-3-8B-4bit
This model was converted to MLX format from [`meta-llama/Meta-Llama-3-8B`]() using mlx-lm version **0.9.0**.
Model added by [Prince Canuma](https://twitter.com/Prince_Canuma).
Refer to the [original model card](https://huggingface.co/meta-llama/Meta-Llama-3-8B) for more details o... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "mlx"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"A... | mlx-community/Meta-Llama-3-8B-4bit | null | [
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"safetensors",
"llama",
"facebook",
"meta",
"pytorch",
"llama-3",
"text-generation",
"en",
"license:other",
"region:us"
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"en"
] | TAGS
#mlx #safetensors #llama #facebook #meta #pytorch #llama-3 #text-generation #en #license-other #region-us
|
# mlx-community/Meta-Llama-3-8B-4bit
This model was converted to MLX format from ['meta-llama/Meta-Llama-3-8B']() using mlx-lm version 0.9.0.
Model added by Prince Canuma.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# mlx-community/Meta-Llama-3-8B-4bit\nThis model was converted to MLX format from ['meta-llama/Meta-Llama-3-8B']() using mlx-lm version 0.9.0.\n\nModel added by Prince Canuma.\n\nRefer to the original model card for more details on the model.",
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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | procit001/english_male_vits | null | [
"transformers",
"safetensors",
"vits",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #vits #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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text-generation | mlx |
# mlx-community/Meta-Llama-3-70B-Instruct-4bit
This model was converted to MLX format from [`meta-llama/Meta-Llama-3-70B-Instruct`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) for more details on the model.
## Use with mlx
```bash
... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "mlx"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"A... | mlx-community/Meta-Llama-3-70B-Instruct-4bit | null | [
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"safetensors",
"llama",
"facebook",
"meta",
"pytorch",
"llama-3",
"text-generation",
"conversational",
"en",
"license:other",
"region:us"
] | null | 2024-04-18T16:16:53+00:00 | [] | [
"en"
] | TAGS
#mlx #safetensors #llama #facebook #meta #pytorch #llama-3 #text-generation #conversational #en #license-other #region-us
|
# mlx-community/Meta-Llama-3-70B-Instruct-4bit
This model was converted to MLX format from ['meta-llama/Meta-Llama-3-70B-Instruct']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# mlx-community/Meta-Llama-3-70B-Instruct-4bit\nThis model was converted to MLX format from ['meta-llama/Meta-Llama-3-70B-Instruct']() using mlx-lm version 0.10.0.\nRefer to the original model card for more details on the model.",
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text-generation | mlx |
# mlx-community/Meta-Llama-3-70B-4bit
This model was converted to MLX format from [`meta-llama/Meta-Llama-3-70B`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/meta-llama/Meta-Llama-3-70B) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "mlx"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"A... | mlx-community/Meta-Llama-3-70B-4bit | null | [
"mlx",
"safetensors",
"llama",
"facebook",
"meta",
"pytorch",
"llama-3",
"text-generation",
"en",
"license:other",
"region:us"
] | null | 2024-04-18T16:17:09+00:00 | [] | [
"en"
] | TAGS
#mlx #safetensors #llama #facebook #meta #pytorch #llama-3 #text-generation #en #license-other #region-us
|
# mlx-community/Meta-Llama-3-70B-4bit
This model was converted to MLX format from ['meta-llama/Meta-Llama-3-70B']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# mlx-community/Meta-Llama-3-70B-4bit\nThis model was converted to MLX format from ['meta-llama/Meta-Llama-3-70B']() using mlx-lm version 0.10.0.\nRefer to the original model card for more details on the model.",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/uncensorie/chronob-1.4-lin-70b
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/chronob-1.... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "base_model": "uncensorie/chronob-1.4-lin-70b", "quantized_by": "mradermacher"} | mradermacher/chronob-1.4-lin-70b-i1-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:uncensorie/chronob-1.4-lin-70b",
"license:llama2",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T16:17:36+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-uncensorie/chronob-1.4-lin-70b #license-llama2 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #en #base_model-uncensorie/chronob-1.4-lin-70b #license-llama2 #endpoints_compatible #region-us \n"
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46
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"TAGS\n#transformers #gguf #en #base_model-uncensorie/chronob-1.4-lin-70b #license-llama2 #endpoints_compatible #region-us \n"
] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/allenai/tulu-2-70b
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/tulu-2-70b-GGUF
## Usa... | {"language": ["en"], "library_name": "transformers", "datasets": ["allenai/tulu-v2-sft-mixture"], "base_model": "allenai/tulu-2-70b", "quantized_by": "mradermacher"} | mradermacher/tulu-2-70b-i1-GGUF | null | [
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"en",
"dataset:allenai/tulu-v2-sft-mixture",
"base_model:allenai/tulu-2-70b",
"endpoints_compatible",
"region:us"
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"en"
] | TAGS
#transformers #gguf #en #dataset-allenai/tulu-v2-sft-mixture #base_model-allenai/tulu-2-70b #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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50
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] |
reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
## Training Time
Trained on... | {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-Pixelcopter-PLE-v0", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelco... | chirbard/Reinforce-Pixelcopter-PLE-v0 | null | [
"Pixelcopter-PLE-v0",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-18T16:20:37+00:00 | [] | [] | TAGS
#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
## Training Time
Trained on 50 000 timesteps for 4 hours and 20 minutes.
## Hyperparameters
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null | transformers |
# Trisert/zephyr-orpo-7b-v0.2-Q4_K_S-GGUF
This model was converted to GGUF format from [`wandb/zephyr-orpo-7b-v0.2`](https://huggingface.co/wandb/zephyr-orpo-7b-v0.2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://... | {"license": "mit", "library_name": "transformers", "tags": ["trl", "orpo", "generated_from_trainer", "llama-cpp", "gguf-my-repo"], "datasets": ["argilla/distilabel-capybara-dpo-7k-binarized"], "base_model": "wandb/Mistral-7B-v0.2"} | Trisert/zephyr-orpo-7b-v0.2-Q4_K_S-GGUF | null | [
"transformers",
"gguf",
"trl",
"orpo",
"generated_from_trainer",
"llama-cpp",
"gguf-my-repo",
"dataset:argilla/distilabel-capybara-dpo-7k-binarized",
"base_model:wandb/Mistral-7B-v0.2",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T16:23:17+00:00 | [] | [] | TAGS
#transformers #gguf #trl #orpo #generated_from_trainer #llama-cpp #gguf-my-repo #dataset-argilla/distilabel-capybara-dpo-7k-binarized #base_model-wandb/Mistral-7B-v0.2 #license-mit #endpoints_compatible #region-us
|
# Trisert/zephyr-orpo-7b-v0.2-Q4_K_S-GGUF
This model was converted to GGUF format from 'wandb/zephyr-orpo-7b-v0.2' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
"# Trisert/zephyr-orpo-7b-v0.2-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'wandb/zephyr-orpo-7b-v0.2' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Kotokin/Merged-RP-Stew-V2-68B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Merged-RP-S... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["merge", "roleplay", "exl2", "not-for-all-audiences"], "base_model": "Kotokin/Merged-RP-Stew-V2-68B", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE", "license_name": "yi-34b", "quantized_by": "mradermacher"} | mradermacher/Merged-RP-Stew-V2-68B-GGUF | null | [
"transformers",
"gguf",
"merge",
"roleplay",
"exl2",
"not-for-all-audiences",
"en",
"base_model:Kotokin/Merged-RP-Stew-V2-68B",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T16:26:14+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #roleplay #exl2 #not-for-all-audiences #en #base_model-Kotokin/Merged-RP-Stew-V2-68B #license-other #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #merge #roleplay #exl2 #not-for-all-audiences #en #base_model-Kotokin/Merged-RP-Stew-V2-68B #license-other #endpoints_compatible #region-us \n"
] | [
60
] | [
"TAGS\n#transformers #gguf #merge #roleplay #exl2 #not-for-all-audiences #en #base_model-Kotokin/Merged-RP-Stew-V2-68B #license-other #endpoints_compatible #region-us \n"
] |
image-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# agusg6/img_classifier_2CLA
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "agusg6/img_classifier_2CLA", "results": []}]} | agusg6/img_classifier_2CLA | null | [
"transformers",
"tf",
"vit",
"image-classification",
"generated_from_keras_callback",
"base_model:google/vit-base-patch16-224-in21k",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T16:30:00+00:00 | [] | [] | TAGS
#transformers #tf #vit #image-classification #generated_from_keras_callback #base_model-google/vit-base-patch16-224-in21k #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| agusg6/img\_classifier\_2CLA
============================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.5287
* Validation Loss: 0.5264
* Train Accuracy: 0.76
* Epoch: 4
Model description
-----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': {'module': 'keras.optimizers.schedules', 'class\\_name': 'PolynomialDecay', 'config': {'initial\\_learning\\_rate': 3e-05, 'decay\\_steps': 5620, 'end\\_learni... | [
"TAGS\n#transformers #tf #vit #image-classification #generated_from_keras_callback #base_model-google/vit-base-patch16-224-in21k #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimi... | [
65,
220,
5,
38
] | [
"TAGS\n#transformers #tf #vit #image-classification #generated_from_keras_callback #base_model-google/vit-base-patch16-224-in21k #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {... |
text-generation | transformers |
# EEVE-Korean-Instruct-10.8B-v1.0-int8
- Orginal model : [yanolja/EEVE-Korean-Instruct-10.8B-v1.0](https://huggingface.co/yanolja/EEVE-Korean-Instruct-10.8B-v1.0)
- Quantized using [intel/auto-round](https://github.com/intel/auto-round)
## Description
**EEVE-Korean-Instruct-10.8B-v1.0-int8** is an int8 model with... | {"license": "apache-2.0", "tags": ["text-generation-inference"], "pipeline_tag": "text-generation"} | ssuncheol/EEVE-Korean-Instruct-10.8B-v1.0-int8 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"text-generation-inference",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"8-bit",
"region:us"
] | null | 2024-04-18T16:30:10+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #text-generation-inference #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #8-bit #region-us
|
# EEVE-Korean-Instruct-10.8B-v1.0-int8
- Orginal model : yanolja/EEVE-Korean-Instruct-10.8B-v1.0
- Quantized using intel/auto-round
## Description
EEVE-Korean-Instruct-10.8B-v1.0-int8 is an int8 model with group_size 128 of the yanolja/EEVE-Korean-Instruct-10.8B-v1.0.
The above model was quantized using AutoRoun... | [
"# EEVE-Korean-Instruct-10.8B-v1.0-int8\n\n- Orginal model : yanolja/EEVE-Korean-Instruct-10.8B-v1.0\n- Quantized using intel/auto-round",
"## Description \n\nEEVE-Korean-Instruct-10.8B-v1.0-int8 is an int8 model with group_size 128 of the yanolja/EEVE-Korean-Instruct-10.8B-v1.0.\n\nThe above model was quantized ... | [
"TAGS\n#transformers #safetensors #llama #text-generation #text-generation-inference #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #8-bit #region-us \n",
"# EEVE-Korean-Instruct-10.8B-v1.0-int8\n\n- Orginal model : yanolja/EEVE-Korean-Instruct-10.8B-v1.0\n- Quantized using intel/... | [
49,
56,
99,
4,
12,
23,
4,
7,
5,
5
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #text-generation-inference #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #8-bit #region-us \n# EEVE-Korean-Instruct-10.8B-v1.0-int8\n\n- Orginal model : yanolja/EEVE-Korean-Instruct-10.8B-v1.0\n- Quantized using intel/auto-r... |
text-generation | null |
# SeaLLM-7B-v2-GGUF
- This is GGUF quantized evrsion of [SeaLLMs/SeaLLM-7B-v2](https://huggingface.co/SeaLLMs/SeaLLM-7B-v2)
## Model Description
We introduce [SeaLLM-7B-v2](https://huggingface.co/SeaLLMs/SeaLLM-7B-v2), the state-of-the-art multilingual LLM for Southeast Asian (SEA) languagesย ๐ฌ๐ง ๐จ๐ณ ๐ป๐ณ ๐ฎ๐ฉ ๐น... | {"license": "other", "tags": ["mistral", "multilingual", "sea", "conversational"], "license_name": "seallms", "license_link": "https://huggingface.co/SeaLLMs/SeaLLM-13B-Chat/blob/main/LICENSE", "pipeline_tag": "text-generation", "base_model": "SeaLLMs/SeaLLM-7B-v2"} | QuantFactory/SeaLLM-7B-v2-GGUF | null | [
"gguf",
"mistral",
"multilingual",
"sea",
"conversational",
"text-generation",
"arxiv:2312.00738",
"arxiv:2205.11916",
"arxiv:2306.05179",
"arxiv:2306.05685",
"base_model:SeaLLMs/SeaLLM-7B-v2",
"license:other",
"region:us"
] | null | 2024-04-18T16:32:21+00:00 | [
"2312.00738",
"2205.11916",
"2306.05179",
"2306.05685"
] | [] | TAGS
#gguf #mistral #multilingual #sea #conversational #text-generation #arxiv-2312.00738 #arxiv-2205.11916 #arxiv-2306.05179 #arxiv-2306.05685 #base_model-SeaLLMs/SeaLLM-7B-v2 #license-other #region-us
| SeaLLM-7B-v2-GGUF
=================
* This is GGUF quantized evrsion of SeaLLMs/SeaLLM-7B-v2
Model Description
-----------------
We introduce SeaLLM-7B-v2, the state-of-the-art multilingual LLM for Southeast Asian (SEA) languagesย ๐ฌ๐ง ๐จ๐ณ ๐ป๐ณ ๐ฎ๐ฉ ๐น๐ญ ๐ฒ๐พ ๐ฐ๐ญ ๐ฑ๐ฆ ๐ฒ๐ฒ ๐ต๐ญ. It is the most significant upgrad... | [
"### Highlights\n\n\n* SeaLLM-7B-v2 achieves the 7B-SOTA on the Zero-shot CoT GSM8K task with 78.2 score and outperforms GPT-3.5 in many GSM8K-translated tasks in SEA languages (๐จ๐ณ ๐ป๐ณ ๐ฎ๐ฉ ๐น๐ญ) as well as MGSM (๐จ๐ณ ๐น๐ญ). It also surpasses GPT-3.5 in MATH CoT for Thai ๐น๐ญ.\n* It scores competitively against ... | [
"TAGS\n#gguf #mistral #multilingual #sea #conversational #text-generation #arxiv-2312.00738 #arxiv-2205.11916 #arxiv-2306.05179 #arxiv-2306.05685 #base_model-SeaLLMs/SeaLLM-7B-v2 #license-other #region-us \n",
"### Highlights\n\n\n* SeaLLM-7B-v2 achieves the 7B-SOTA on the Zero-shot CoT GSM8K task with 78.2 score... | [
89,
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246,
68,
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] | [
"TAGS\n#gguf #mistral #multilingual #sea #conversational #text-generation #arxiv-2312.00738 #arxiv-2205.11916 #arxiv-2306.05179 #arxiv-2306.05685 #base_model-SeaLLMs/SeaLLM-7B-v2 #license-other #region-us \n### Highlights\n\n\n* SeaLLM-7B-v2 achieves the 7B-SOTA on the Zero-shot CoT GSM8K task with 78.2 score and o... |
null | null | Conversion from https://huggingface.co/stabilityai/sd-turbo to onnx as fp16 with some ort-web friendly changes | {"license": "other", "license_name": "stabilityai-non-comercial", "license_link": "LICENSE"} | DLsoftware/sd-turbo-ort-web | null | [
"onnx",
"license:other",
"region:us"
] | null | 2024-04-18T16:33:08+00:00 | [] | [] | TAGS
#onnx #license-other #region-us
| Conversion from URL to onnx as fp16 with some ort-web friendly changes | [] | [
"TAGS\n#onnx #license-other #region-us \n"
] | [
12
] | [
"TAGS\n#onnx #license-other #region-us \n"
] |
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