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text2text-generation | transformers |
# Slavic T5 Base
Aim of this model is to reach the best results for the Slavic laguages with Latin script.
It is suitable for tasks such as:
- summarization,
- extractive question answering,
- machine translation between slavic languages in Latin script.
The model is trained on the selected parts of OSCAR corpus ... | {"language": ["cs", "cr", "hr", "pl", "sl", "sk"], "datasets": ["oscar", "hieronymusa/MaCoCu-dataset-250k"]} | TUKE-KEMT/slavic-t5-base | null | [
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|
# Slavic T5 Base
Aim of this model is to reach the best results for the Slavic laguages with Latin script.
It is suitable for tasks such as:
- summarization,
- extractive question answering,
- machine translation between slavic languages in Latin script.
The model is trained on the selected parts of OSCAR corpus ... | [
"# Slavic T5 Base\n\nAim of this model is to reach the best results for the Slavic laguages with Latin script.\n\nIt is suitable for tasks such as:\n\n- summarization,\n- extractive question answering,\n- machine translation between slavic languages in Latin script.\n\nThe model is trained on the selected parts of ... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | huiang/model_imdb | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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#transformers #safetensors #gpt2 #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:
- Language(s) (NLP):
- License... | [
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null | null |
# Kleiner Astronaut - 126M
Model pre-trained on the german [Kleiner Astronaut dataset](https://huggingface.co/datasets/Jotschi/kleiner-astronaut).
Example from Dataset:
> Eines Tages traten der kleine Astronaut Max und sein neues Roboter-Freundchen, Astro, in ihr schattiges ... | {"datasets": ["jotschi/kleiner-astronaut"]} | Jotschi/kleiner-astronaut-126M | null | [
"pytorch",
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"region:us"
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#pytorch #dataset-jotschi/kleiner-astronaut #region-us
| Kleiner Astronaut - 126M
========================
!Astronaut holding balloon
Model pre-trained on the german Kleiner Astronaut dataset.
Example from Dataset:
>
> Eines Tages traten der kleine Astronaut Max und sein neues Roboter-Freundchen, Astro, in ihr schattiges Wohnzimmer…
>
>
>
* Architecture: NanoG... | [] | [
"TAGS\n#pytorch #dataset-jotschi/kleiner-astronaut #region-us \n"
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/finalupdate2 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T17:57:39+00:00 | [
"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# distilhubert-bass-classifier6
This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/dist... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["augmented_bass_sounds"], "metrics": ["accuracy"], "base_model": "ntu-spml/distilhubert", "model-index": [{"name": "distilhubert-bass-classifier6", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset":... | TheDuyx/distilhubert-bass-classifier6 | null | [
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| distilhubert-bass-classifier6
=============================
This model is a fine-tuned version of ntu-spml/distilhubert on the TheDuyx/augmented\_bass\_sounds dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0110
* Accuracy: 0.9985
Model description
-----------------
More information ... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | codevang/fast_small_15 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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visual-question-answering | transformers |
# llama3-vision-alpha
projection module trained to add vision capabilties to Llama 3 using SigLIP. built by [@yeswondwerr](https://x.com/yeswondwerr) and [@qtnx_](https://x.com/qtnx_)
usable directly in Transformers, **warning: bitsandbytes quantization is currently not supported!**
**usage**
```
pip install torch... | {"language": ["en"], "license": "llama3", "datasets": ["liuhaotian/LLaVA-CC3M-Pretrain-595K"], "pipeline_tag": "visual-question-answering"} | qresearch/llama-3-vision-alpha-hf | null | [
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| llama3-vision-alpha
===================
projection module trained to add vision capabilties to Llama 3 using SigLIP. built by @yeswondwerr and @qtnx\_
usable directly in Transformers, warning: bitsandbytes quantization is currently not supported!
usage
examples
acknowledgements
* Liu et al. : LLaVA
* Moon ... | [] | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- _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_quan... | {"library_name": "peft"} | moiseserg/llama-2-7b-datyra | null | [
"peft",
"region:us"
] | null | 2024-04-30T18:01:30+00:00 | [] | [] | TAGS
#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- quant_method: bitsandbytes
- _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_quan... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/DevsDoCode/Llama-3-8B-Instruct-1048k
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Lla... | {"language": ["en"], "library_name": "transformers", "base_model": "DevsDoCode/Llama-3-8B-Instruct-1048k", "quantized_by": "mradermacher"} | mradermacher/Llama-3-8B-Instruct-1048k-i1-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:DevsDoCode/Llama-3-8B-Instruct-1048k",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T18:01:57+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-DevsDoCode/Llama-3-8B-Instruct-1048k #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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reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **GDY-PowerGrid** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sample-Factory, do... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"]} | metta-ai/baseline.v0.1.1 | null | [
"sample-factory",
"tensorboard",
"deep-reinforcement-learning",
"reinforcement-learning",
"region:us"
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#sample-factory #tensorboard #deep-reinforcement-learning #reinforcement-learning #region-us
|
A(n) APPO model trained on the GDY-PowerGrid environment.
This model was trained using Sample-Factory 2.0: URL
Documentation for how to use Sample-Factory can be found at URL
## Downloading the model
After installing Sample-Factory, download the model with:
## Using the model
To run the model after downloa... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Nyxmmz/lora | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["llama-factory"]} | justinj92/phi3-orpo | null | [
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# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | gytdau/mazegpt | null | [
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text-generation | mlx |
# mlx-community/Meta-Llama-3-70B-Instruct-mlx-unquantized
This model was converted to MLX format from [`meta-llama/Meta-Llama-3-70B-Instruct`]() using mlx-lm version **0.12.1**.
Refer to the [original model card](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) for more details on the model.
## Use with ml... | {"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-mlx-unquantized | null | [
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|
# mlx-community/Meta-Llama-3-70B-Instruct-mlx-unquantized
This model was converted to MLX format from ['meta-llama/Meta-Llama-3-70B-Instruct']() using mlx-lm version 0.12.1.
Refer to the original model card for more details on the model.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"language": ["my"], "library_name": "transformers", "pipeline_tag": "text-generation"} | Turtle344/mistral-health-faq-v1 | null | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# uae-climate-multi-classifier-weighted
This model is a fine-tuned version of [alex-miller/ODABert](https://huggingface.co/alex-mi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "alex-miller/ODABert", "model-index": [{"name": "uae-climate-multi-classifier-weighted", "results": []}]} | alex-miller/uae-climate-multi-classifier-weighted | null | [
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| uae-climate-multi-classifier-weighted
=====================================
This model is a fine-tuned version of alex-miller/ODABert on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0936
* Accuracy: 0.9197
* F1: 0.7059
* Precision: 0.7
* Recall: 0.7119
Model description
-... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"language": ["ru"], "license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Ru ORD 0.7 PEFT LoRA - Mizoru ", "results": []}]} | mizoru/whisper-small-ru-ORD_0.7_peft_0.3 | null | [
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<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
# Whisper Small Ru ORD 0.7 PEFT LoRA - Mizoru
This model is a fine-tuned version of openai/whisper-small on the ORD_0.7 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.3021
- eval_wer: 60.8525
- eval_cer: 3... | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Llama-3-70B-instruct-layer-mix-bpw-4.0 | null | [
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#transformers #safetensors #llama #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | matthewleechen/test_ner_patentspecs | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | SeemalT/gemma2b-finetuned | 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. -->
# eurus-7b-cost-UC-5e-7
This model is a fine-tuned version of [openbmb/Eurus-7b-sft](https://huggingface.co/openbmb/Eurus-7b-sft) ... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "openbmb/Eurus-7b-sft", "model-index": [{"name": "eurus-7b-cost-UC-5e-7", "results": []}]} | just1nseo/eurus-7b-cost-UC-5e-7 | null | [
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#peft #safetensors #trl #dpo #generated_from_trainer #base_model-openbmb/Eurus-7b-sft #license-apache-2.0 #region-us
| eurus-7b-cost-UC-5e-7
=====================
This model is a fine-tuned version of openbmb/Eurus-7b-sft on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6920
* Rewards/chosen: -0.5152
* Rewards/rejected: -0.5522
* Rewards/accuracies: 0.5560
* Rewards/margins: 0.0369
* Rewards/m... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | hyojin99/whisper-medium | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
<!-- 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_mz-135_WordLength_n-its-10-seed-3
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://hu... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "robust_llm_pythia-70m_mz-135_WordLength_n-its-10-seed-3", "results": []}]} | AlignmentResearch/robust_llm_pythia-70m_mz-135_WordLength_n-its-10-seed-3 | null | [
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|
# robust_llm_pythia-70m_mz-135_WordLength_n-its-10-seed-3
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 ... | [
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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_mz-135_WordLength_n-its-10-seed-2
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://hu... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "robust_llm_pythia-70m_mz-135_WordLength_n-its-10-seed-2", "results": []}]} | AlignmentResearch/robust_llm_pythia-70m_mz-135_WordLength_n-its-10-seed-2 | null | [
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T18:14:34+00:00 | [] | [] | TAGS
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|
# robust_llm_pythia-70m_mz-135_WordLength_n-its-10-seed-2
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 ... | [
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | nlpproject/NER_distilBERT | 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 | 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. -->
# adapter_ThaiSC_LLM_Scamper
This model is a fine-tuned version of [openthaigpt/openthaigpt-1.0.0-7b-chat](https://huggingface.co/... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "openthaigpt/openthaigpt-1.0.0-7b-chat", "model-index": [{"name": "adapter_ThaiSC_LLM_Scamper", "results": []}]} | SuperkingbasSKB/adapter_ThaiSC_LLM_Scamper | null | [
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"license:apache-2.0",
"region:us"
] | null | 2024-04-30T18:16:35+00:00 | [] | [] | TAGS
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|
# adapter_ThaiSC_LLM_Scamper
This model is a fine-tuned version of openthaigpt/openthaigpt-1.0.0-7b-chat 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 | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# eurus-7b-cost-UI-UC-5e-7
This model is a fine-tuned version of [openbmb/Eurus-7b-sft](https://huggingface.co/openbmb/Eurus-7b-sf... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "openbmb/Eurus-7b-sft", "model-index": [{"name": "eurus-7b-cost-UI-UC-5e-7", "results": []}]} | just1nseo/eurus-7b-cost-UI-UC-5e-7 | null | [
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| eurus-7b-cost-UI-UC-5e-7
========================
This model is a fine-tuned version of openbmb/Eurus-7b-sft on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7012
* Rewards/chosen: -0.8455
* Rewards/rejected: -0.9219
* Rewards/accuracies: 0.5507
* Rewards/margins: 0.0764
* Rew... | [
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null | transformers |
# Uploaded model
- **Developed by:** zeeshanali01
- **License:** apache-2.0
- **Finetuned from model :** unsloth/Phi-3-mini-4k-instruct-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", "trl"], "base_model": "unsloth/Phi-3-mini-4k-instruct-bnb-4bit"} | zeeshanali01/lora_model | null | [
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# Uploaded model
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | claudios/unixcoder-base-nine | null | [
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | # Model: Grain Classification Model
### Description:
This model is design to classify 4 different types of grains: noodles, rice, couscous, and oatmeal by using the FastAI library with Fastbook and ResNet-18 convolutional neural network architecture.
<br>
The model files can be found in the "Files and Versions" sect... | {} | jqjacq/Grain-Detection | null | [
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| Model: Grain Classification Model
=================================
### Description:
This model is design to classify 4 different types of grains: noodles, rice, couscous, and oatmeal by using the FastAI library with Fastbook and ResNet-18 convolutional neural network architecture.
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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_mz-135_WordLength_n-its-10-seed-3
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://hu... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-31m_mz-135_WordLength_n-its-10-seed-3", "results": []}]} | AlignmentResearch/robust_llm_pythia-31m_mz-135_WordLength_n-its-10-seed-3 | null | [
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|
# robust_llm_pythia-31m_mz-135_WordLength_n-its-10-seed-3
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 ... | [
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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_mz-135_WordLength_n-its-10-seed-4
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://hu... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-31m_mz-135_WordLength_n-its-10-seed-4", "results": []}]} | AlignmentResearch/robust_llm_pythia-31m_mz-135_WordLength_n-its-10-seed-4 | null | [
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|
# robust_llm_pythia-31m_mz-135_WordLength_n-its-10-seed-4
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
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | pvyas96/mistral_7b_med | null | [
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text-generation | transformers | This model is a proof of concept where regular LLM are finetuned to anonimise data. Using a systemprompt:
````
Anonymize :
````
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# Targets for the anonimisation
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null | transformers |
# Uploaded model
- **Developed by:** traderpedroso
- **License:** apache-2.0
- **Finetuned from model :** artificialguybr/llama3-8b-alpacadata-ptbr
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... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "artificialguybr/llama3-8b-alpacadata-ptbr"} | traderpedroso/llama3-8b-lora | null | [
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multiple-choice | 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. -->
# Amrit05/swagdata_bert_finetuned
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-be... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "Amrit05/swagdata_bert_finetuned", "results": []}]} | Amrit05/swagdata_bert_finetuned | null | [
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| Amrit05/swagdata\_bert\_finetuned
=================================
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset.
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* Train Loss: 0.3487
* Validation Loss: 0.5780
* Train Accuracy: 0.7975
* Epoch: 1
Model descripti... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** traderpedroso
- **License:** apache-2.0
- **Finetuned from model :** artificialguybr/llama3-8b-alpacadata-ptbr
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... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "artificialguybr/llama3-8b-alpacadata-ptbr"} | traderpedroso/llama3 | null | [
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# Uploaded model
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "mit", "tags": ["trl", "sft", "generated_from_trainer", "danish"], "datasets": ["kobprof/skolegpt-instruct"], "base_model": "microsoft/Phi-3-mini-4k-instruct", "model-index": [{"name": "Phi-3-mini-4k-instruct-dansk", "results": []}]} | emillykkejensen/Phi-3-mini-4k-instruct-dansk | null | [
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|
<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
# Phi-3-mini-4k-instruct-dansk
This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on the kobprof/skolegpt-instruct dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5493
## Model description
M... | [
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feature-extraction | 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 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | claudios/unixcoder-base | 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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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
This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the tin... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-tiny.en", "model-index": [{"name": "whisper", "results": []}]} | khaingsmon/whisper | null | [
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| whisper
=======
This model is a fine-tuned version of openai/URL on the tiny dataset.
It achieves the following results on the evaluation set:
* Loss: 3.9871
* Wer: 83.6108
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ne... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "model-index": [{"name": "finetuning-sentiment-model-3000-samples", "results": []}]} | abrario/finetuning-sentiment-model-3000-samples | null | [
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|
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2903
- Accuracy: 0.88
- F1: 0.8808
## Model description
More information needed
## Intended uses & limitations
More in... | [
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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. -->
# segformer-b0-scene-parse-150
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) o... | {"license": "other", "tags": ["generated_from_trainer"], "datasets": ["scene_parse_150"], "base_model": "nvidia/mit-b0", "model-index": [{"name": "segformer-b0-scene-parse-150", "results": []}]} | DjoDja/segformer-b0-scene-parse-150 | null | [
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| segformer-b0-scene-parse-150
============================
This model is a fine-tuned version of nvidia/mit-b0 on the scene\_parse\_150 dataset.
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* Mean Iou: 0.0900
* Mean Accuracy: 0.1366
* Overall Accuracy: 0.3644
* Accuracy Wall: nan
* Accurac... | [
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text-generation | transformers |
# JSL-MedPhi2-2.7B
[<img src="https://repository-images.githubusercontent.com/104670986/2e728700-ace4-11ea-9cfc-f3e060b25ddf">](http://www.johnsnowlabs.com)
This model is developed by [John Snow Labs](https://www.johnsnowlabs.com/).
This model is available under a [CC-BY-NC-ND](https://creativecommons.org/licenses/... | {"license": "cc-by-nc-nd-4.0", "tags": ["phi-2", "sft", "medical"], "base_model": ["microsoft/phi2"]} | johnsnowlabs/JSL-MedPhi2-2.7B | null | [
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| JSL-MedPhi2-2.7B
================
<img src="URL
This model is developed by John Snow Labs.
This model is available under a CC-BY-NC-ND license and must also conform to this Acceptable Use Policy. If you need to license this model for commercial use, please contact us at info@URL.
Usage
-----
Evaluation
------... | [] | [
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null | transformers |
# Uploaded model
- **Developed by:** traderpedroso
- **License:** apache-2.0
- **Finetuned from model :** artificialguybr/llama3-8b-alpacadata-ptbr
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... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "artificialguybr/llama3-8b-alpacadata-ptbr"} | traderpedroso/llama3-lora | null | [
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# Uploaded model
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# idefics2-8b-docvqa-finetuned-museum
This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingface.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "HuggingFaceM4/idefics2-8b", "model-index": [{"name": "idefics2-8b-docvqa-finetuned-museum", "results": []}]} | ZacJQ/idefics2-8b-docvqa-finetuned-museum | null | [
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# idefics2-8b-docvqa-finetuned-museum
This model is a fine-tuned version of HuggingFaceM4/idefics2-8b 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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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Uploaded model
- **Developed by:** DattaBS
- **License:** apache-2.0
- **Finetuned from model :** mistralai/Mistral-7B-Instruct-v0.2
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/unslothai/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | DattaBS/mistral_gsm8k | null | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | SilvioLima/absa | null | [
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text-generation | transformers |
# Model Card for Model ID
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## Model Details
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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_mz-135_WordLength_n-its-10-seed-1
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://hu... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-14m_mz-135_WordLength_n-its-10-seed-1", "results": []}]} | AlignmentResearch/robust_llm_pythia-14m_mz-135_WordLength_n-its-10-seed-1 | null | [
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|
# robust_llm_pythia-14m_mz-135_WordLength_n-its-10-seed-1
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
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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_mz-135_WordLength_n-its-10-seed-3
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://hu... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-14m_mz-135_WordLength_n-its-10-seed-3", "results": []}]} | AlignmentResearch/robust_llm_pythia-14m_mz-135_WordLength_n-its-10-seed-3 | null | [
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|
# robust_llm_pythia-14m_mz-135_WordLength_n-its-10-seed-3
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 ... | [
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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_mz-135_WordLength_n-its-10-seed-2
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://hu... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-14m_mz-135_WordLength_n-its-10-seed-2", "results": []}]} | AlignmentResearch/robust_llm_pythia-14m_mz-135_WordLength_n-its-10-seed-2 | null | [
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|
# robust_llm_pythia-14m_mz-135_WordLength_n-its-10-seed-2
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 ... | [
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null | transformers |
# Uploaded model
- **Developed by:** traderpedroso
- **License:** apache-2.0
- **Finetuned from model :** artificialguybr/llama3-8b-alpacadata-ptbr
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... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "artificialguybr/llama3-8b-alpacadata-ptbr"} | traderpedroso/llama3-GGUF | null | [
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|
# Uploaded model
- Developed by: traderpedroso
- License: apache-2.0
- Finetuned from model : artificialguybr/llama3-8b-alpacadata-ptbr
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-14m_mz-135_WordLength_n-its-10-seed-0
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://hu... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-14m_mz-135_WordLength_n-its-10-seed-0", "results": []}]} | AlignmentResearch/robust_llm_pythia-14m_mz-135_WordLength_n-its-10-seed-0 | null | [
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|
# robust_llm_pythia-14m_mz-135_WordLength_n-its-10-seed-0
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 ... | [
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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_mz-135_WordLength_n-its-10-seed-0
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://hu... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "robust_llm_pythia-70m_mz-135_WordLength_n-its-10-seed-0", "results": []}]} | AlignmentResearch/robust_llm_pythia-70m_mz-135_WordLength_n-its-10-seed-0 | null | [
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|
# robust_llm_pythia-70m_mz-135_WordLength_n-its-10-seed-0
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 ... | [
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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_mz-135_WordLength_n-its-10-seed-1
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://hu... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "robust_llm_pythia-70m_mz-135_WordLength_n-its-10-seed-1", "results": []}]} | AlignmentResearch/robust_llm_pythia-70m_mz-135_WordLength_n-its-10-seed-1 | null | [
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|
# robust_llm_pythia-70m_mz-135_WordLength_n-its-10-seed-1
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 ... | [
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feature-extraction | transformers |
# Model Card for Model ID
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text-generation | transformers |
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<!-- Provide a quick summary of what the model is/does. -->
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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. -->
# zephyr-7b-gemma-sft-african-ultraalpaca
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/ge... | {"license": "gemma", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["masakhane/african-ultrachat", "untrachat_en", "sd"], "base_model": "google/gemma-7b", "model-index": [{"name": "zephyr-7b-gemma-sft-african-ultraalpaca", "results": []}]} | masakhane/African-ultrachat-alpaca | null | [
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... | null | 2024-04-30T18:39:36+00:00 | [] | [] | TAGS
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=======================================
This model is a fine-tuned version of google/gemma-7b
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
-----... | [
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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. -->
# flan-t5-base-samsum
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on a... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/flan-t5-base", "model-index": [{"name": "flan-t5-base-samsum", "results": []}]} | midnightGlow/flan-t5-base-samsum | null | [
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| flan-t5-base-samsum
===================
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3698
* Rouge1: 47.0746
* Rouge2: 23.2656
* Rougel: 39.5723
* Rougelsum: 43.3245
* Gen Len: 17.2564
Model description
---------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 5\n* eval\\_batch\\_size: 5\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | jamesohe/casaudit3-4bit-p02-base | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="bendupont/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional a... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | bendupont/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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text-generation | transformers |
![image/png](https://cdn-uploads.huggingface.co/production/uploads/641b435ba... | {"language": ["en", "es"], "license": "apache-2.0", "datasets": ["NickyNicky/oasst2_orpo_mix_tokenizer_phi_3_v1"]} | NickyNicky/gemma-1.1-2b-it_oasst_format_chatML_unsloth_V1_orpo_V2 | null | [
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|
!image/png
!image/png
!image/png
## Metrics
## example output:
## colab examples.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral_train_run1
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/M... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.1", "model-index": [{"name": "mistral_train_run1", "results": []}]} | isaaclee/witness_count_mistral_train_run1 | null | [
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"license:apache-2.0",
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|
# mistral_train_run1
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hy... | [
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text-generation | transformers |
# Llama-3-Giraffe-70B
Abacus.AI presents our longer-necked variant of Llama 3... | {"language": ["en"], "license": "llama3", "tags": ["meta", "llama-3"], "pipeline_tag": "text-generation"} | abacusai/Llama-3-Giraffe-70B | null | [
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|
!image/png
!image/png
# Llama-3-Giraffe-70B
Abacus.AI presents our longer-necked variant of Llama 3 70B!
This model has an effective context length of approximately 128k.
We have currently trained on ~1B tokens.
This is an initial release and we are hoping to improve the heatmap below further as we continue trai... | [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | hdave/wav2vec2-large-xlsr-53-demo-colab | 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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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | claudios/graphcodebert-base | null | [
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feature-extraction | transformers |
## Model Description
We introduce Dragon-multiturn, a retriever specifically designed for the conversational QA scenario. It can handle conversational query which combine dialogue history with the current query. It is built on top of the [Dragon](https://huggingface.co/facebook/dragon-plus-query-encoder) retriever. Th... | {"language": ["en"], "license": ["other"], "tag": ["dragon", "retriever", "conversation", "multi-turn", "conversational query"]} | nvidia/dragon-multiturn-query-encoder | null | [
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## Model Description
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the None dataset.... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "results", "results": []}]} | megajajo/results | null | [
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"tensorboard",
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"generated_from_trainer",
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"region:us"
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-microsoft/phi-1_5 #license-mit #region-us
| results
=======
This model is a fine-tuned version of microsoft/phi-1\_5 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0513
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="bendupont/q-FrozenLake-v1-4x4-Slippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional att... | {"tags": ["FrozenLake-v1-4x4", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-Slippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4", "type": "FrozenLake-v1-4x4"}, "met... | bendupont/q-FrozenLake-v1-4x4-Slippery | null | [
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#FrozenLake-v1-4x4 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | claudios/JavaBERT | null | [
"transformers",
"safetensors",
"bert",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T18:47:50+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- License... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Qwen1.5-0.5B - bnb 4bits
- Model creator: https://huggingface.co/Qwen/
- Original model: https://huggingface.co/Qwen/Qwen1.5... | {} | RichardErkhov/Qwen_-_Qwen1.5-0.5B-4bits | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-30T18:50:25+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Qwen1.5-0.5B - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: other
license_name: tongyi-qianwen-research
license_link: >-
URL
language:
- en
pipeline_tag: text-generation
tags:
- pretrained... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | claudios/JavaBERT-uncased | null | [
"transformers",
"safetensors",
"bert",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T18:51:35+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #feature-extraction #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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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="bendupont/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/... | bendupont/q-Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-30T18:51:43+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Qwen1.5-0.5B - bnb 8bits
- Model creator: https://huggingface.co/Qwen/
- Original model: https://huggingface.co/Qwen/Qwen1.5... | {} | RichardErkhov/Qwen_-_Qwen1.5-0.5B-8bits | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-30T18:52:11+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Qwen1.5-0.5B - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: other
license_name: tongyi-qianwen-research
license_link: >-
URL
language:
- en
pipeline_tag: text-generation
tags:
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | hui168/dqn-SpaceInvadersNoFrameskip-v4-gpu-2 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-30T18:52:15+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Qwen1.5-1.8B - bnb 4bits
- Model creator: https://huggingface.co/Qwen/
- Original model: https://huggingface.co/Qwen/Qwen1.5... | {} | RichardErkhov/Qwen_-_Qwen1.5-1.8B-4bits | null | [
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"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
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#transformers #safetensors #qwen2 #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Qwen1.5-1.8B - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: other
license_name: tongyi-qianwen-research
license_link: >-
URL
language:
- en
pipeline_tag: text-generation
tags:
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | claudios/CodeGPT-small-py-adaptedGPT2 | null | [
"transformers",
"safetensors",
"gpt2",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T18:54:52+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gpt2 #feature-extraction #arxiv-1910.09700 #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# codeT5-small-without-lora-with-prompt
This model is a fine-tuned version of [Salesforce/codet5-small](https://huggingface.co/Sal... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "Salesforce/codet5-small", "model-index": [{"name": "codeT5-small-without-lora-with-prompt", "results": []}]} | EEsu/codeT5-small-without-lora-with-prompt | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:Salesforce/codet5-small",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
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#transformers #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-Salesforce/codet5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| codeT5-small-without-lora-with-prompt
=====================================
This model is a fine-tuned version of Salesforce/codet5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8393
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 12\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: 5",
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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. -->
# NDD-mrbs_test-content
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-unc... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "NDD-mrbs_test-content", "results": []}]} | lgk03/NDD-mrbs_test-content | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T18:57:26+00:00 | [] | [] | TAGS
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| NDD-mrbs\_test-content
======================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1564
* Accuracy: 0.9552
* F1: 0.9556
* Precision: 0.9575
* Recall: 0.9552
Model description
-----------------
More... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Qwen1.5-7B - bnb 4bits
- Model creator: https://huggingface.co/Qwen/
- Original model: https://huggingface.co/Qwen/Qwen1.5-7... | {} | RichardErkhov/Qwen_-_Qwen1.5-7B-4bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Qwen1.5-7B - bnb 4bits
- Model creator: URL
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Qwen1.5-4B - bnb 4bits
- Model creator: https://huggingface.co/Qwen/
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Qwen1.5-4B - bnb 4bits
- Model creator: URL
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Original model description:
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feature-extraction | transformers |
# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
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Qwen1.5-1.8B - bnb 8bits
- Model creator: https://huggingface.co/Qwen/
- Original model: https://huggingface.co/Qwen/Qwen1.5... | {} | RichardErkhov/Qwen_-_Qwen1.5-1.8B-8bits | null | [
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| Quantization made by Richard Erkhov.
Github
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Request more models
Qwen1.5-1.8B - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
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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_mz-135_WordLength_n-its-10-seed-4
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://hu... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-14m_mz-135_WordLength_n-its-10-seed-4", "results": []}]} | AlignmentResearch/robust_llm_pythia-14m_mz-135_WordLength_n-its-10-seed-4 | null | [
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|
# robust_llm_pythia-14m_mz-135_WordLength_n-its-10-seed-4
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 ... | [
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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_mz-135_WordLength_n-its-10-seed-2
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://hu... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-31m_mz-135_WordLength_n-its-10-seed-2", "results": []}]} | AlignmentResearch/robust_llm_pythia-31m_mz-135_WordLength_n-its-10-seed-2 | null | [
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|
# robust_llm_pythia-31m_mz-135_WordLength_n-its-10-seed-2
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 ... | [
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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_mz-135_WordLength_n-its-10-seed-0
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://hu... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-31m_mz-135_WordLength_n-its-10-seed-0", "results": []}]} | AlignmentResearch/robust_llm_pythia-31m_mz-135_WordLength_n-its-10-seed-0 | null | [
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|
# robust_llm_pythia-31m_mz-135_WordLength_n-its-10-seed-0
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 ... | [
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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_mz-135_WordLength_n-its-10-seed-1
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://hu... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-31m_mz-135_WordLength_n-its-10-seed-1", "results": []}]} | AlignmentResearch/robust_llm_pythia-31m_mz-135_WordLength_n-its-10-seed-1 | null | [
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|
# robust_llm_pythia-31m_mz-135_WordLength_n-its-10-seed-1
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 ... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "dpo"]} | kyuhyun/final_4bit_DST_DPO_free | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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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_mz-135_WordLength_n-its-10-seed-4
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://hu... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "robust_llm_pythia-70m_mz-135_WordLength_n-its-10-seed-4", "results": []}]} | AlignmentResearch/robust_llm_pythia-70m_mz-135_WordLength_n-its-10-seed-4 | null | [
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|
# robust_llm_pythia-70m_mz-135_WordLength_n-its-10-seed-4
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 ... | [
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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. -->
# distilled-code-llama
This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama... | {"license": "apache-2.0", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", "model-index": [{"name": "distilled-code-llama", "results": []}]} | anudaw/distilled-finetuned-code-llama | null | [
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|
# distilled-code-llama
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trainin... | [
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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. -->
# kdrt_contentt
This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobe... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "indobenchmark/indobert-base-p1", "model-index": [{"name": "kdrt_contentt", "results": []}]} | brescia/kdrt_contentt | null | [
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| kdrt\_contentt
==============
This model is a fine-tuned version of indobenchmark/indobert-base-p1 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4551
* Accuracy: 0.8820
* Precision: 0.8820
* Recall: 0.8820
* F1: 0.8820
Model description
-----------------
More informatio... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HenryCai1129/adapter-llama-adaptertoxic2nontoxic-100-50-0.001 | 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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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. -->
# whisperFinetuneTakeTwo
This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-tiny.en", "model-index": [{"name": "whisperFinetuneTakeTwo", "results": []}]} | shljessie/whisperFinetuneTakeTwo | null | [
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| whisperFinetuneTakeTwo
======================
This model is a fine-tuned version of openai/URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5685
* Wer: 26.8493
Model description
-----------------
More information needed
Intended uses & limitations
-----------------... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | nem012/gemma2B-1e-5r2 | 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 | 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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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Qwen1.5-14B - bnb 4bits
- Model creator: https://huggingface.co/Qwen/
- Original model: https://huggingface.co/Qwen/Qwen1.5-... | {} | RichardErkhov/Qwen_-_Qwen1.5-14B-4bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Qwen1.5-14B - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: other
license_name: tongyi-qianwen
license_link: >-
URL
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pipeline_tag: text-generation
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text-generation | transformers |
# Uploaded model
- **Developed by:** arthrod
- **License:** apache-2.0
- **Finetuned from model :** meta-llama/Meta-Llama-3-8B-Instruct
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/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "orpo"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct"} | arthrod/ciceroptllama500 | null | [
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|
# Uploaded model
- Developed by: arthrod
- License: apache-2.0
- Finetuned from model : meta-llama/Meta-Llama-3-8B-Instruct
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: arthrod\n- License: apache-2.0\n- Finetuned from model : meta-llama/Meta-Llama-3-8B-Instruct\n\nThis llama model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #text-generation-inference #unsloth #trl #orpo #conversational #en #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Uploaded model\n\n- Developed by: arthrod\n- License: apa... | [
79,
80
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #text-generation-inference #unsloth #trl #orpo #conversational #en #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# Uploaded model\n\n- Developed by: arthrod\n- License: apache-2.... |
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