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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": []} | cackerman/rewrites_gemma7_ft_ds2 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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reinforcement-learning | stable-baselines3 |
# **MlpPolicy** Agent playing **LunarLander-v2**
This is a trained model of a **MlpPolicy** 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 hugg... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "MlpPolicy", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "... | zermelozf/rl-course | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# MlpPolicy Agent playing LunarLander-v2
This is a trained model of a MlpPolicy agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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null | null | Apakah Optalite Tablet?
Optalite harga ialah kapsul suplemen pemakanan yang direka khas untuk memberikan sokongan menyeluruh untuk kesihatan mata. Formula termajunya mengandungi gabungan sinergistik vitamin, mineral dan antioksidan, dipilih dengan teliti untuk menyuburkan dan melindungi mata daripada degenerasi yang b... | {"license": "apache-2.0"} | EroboostTurkey/Eroboost | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-27T09:30:30+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| Apakah Optalite Tablet?
Optalite harga ialah kapsul suplemen pemakanan yang direka khas untuk memberikan sokongan menyeluruh untuk kesihatan mata. Formula termajunya mengandungi gabungan sinergistik vitamin, mineral dan antioksidan, dipilih dengan teliti untuk menyuburkan dan melindungi mata daripada degenerasi yang b... | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
13
] | [
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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/johnsnowlabs/JSL-MedLlama-3-70B-v1.0
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/JSL-... | {"language": ["en"], "license": "cc-by-nc-nd-4.0", "library_name": "transformers", "tags": ["llama-3-70b", "sft", "medical"], "base_model": "johnsnowlabs/JSL-MedLlama-3-70B-v1.0", "quantized_by": "mradermacher"} | mradermacher/JSL-MedLlama-3-70B-v1.0-i1-GGUF | null | [
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"license:cc-by-nc-nd-4.0",
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| 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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null | null | Co to jest Hemopro Gel?
Hemopro Gel Opinie to żel do stosowania miejscowego, specjalnie zaprojektowany w celu łagodzenia objawów hemoroidów, w tym bólu, swędzenia, pieczenia i obrzęku. Zaawansowana formuła łączy w sobie naturalne składniki znane ze swoich właściwości łagodzących i leczniczych, zapewniając szybką i sku... | {"license": "apache-2.0"} | Hemopro/HemoproGel | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-27T09:30:47+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| Co to jest Hemopro Gel?
Hemopro Gel Opinie to żel do stosowania miejscowego, specjalnie zaprojektowany w celu łagodzenia objawów hemoroidów, w tym bólu, swędzenia, pieczenia i obrzęku. Zaawansowana formuła łączy w sobie naturalne składniki znane ze swoich właściwości łagodzących i leczniczych, zapewniając szybką i sku... | [] | [
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text-generation | transformers | Quantizations of https://huggingface.co/NousResearch/Nous-Hermes-2-Yi-34B
# From original readme
# Prompt Format
Nous Hermes 2 uses ChatML as the prompt format, opening up a much more structured system for engaging the LLM in multi-turn chat dialogue.
System prompts allow steerability and interesting new ways to in... | {"language": ["en"], "license": "other", "tags": ["transformers", "gguf", "imatrix", "Nous-Hermes-2-Yi-34B"], "pipeline_tag": "text-generation", "inference": false} | duyntnet/Nous-Hermes-2-Yi-34B-imatrix-GGUF | null | [
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| Quantizations of URL
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-nli_cot_qkv
This model is a fine-tuned version of [TheBloke/Mistral-7B-v0.1-GPTQ](https://huggingface.co/TheBloke/Mis... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-v0.1-GPTQ", "model-index": [{"name": "mistral-7b-nli_cot_qkv", "results": []}]} | jd0g/mistral-7b-nli_cot_qkv | null | [
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#peft #safetensors #generated_from_trainer #base_model-TheBloke/Mistral-7B-v0.1-GPTQ #license-apache-2.0 #region-us
| mistral-7b-nli\_cot\_qkv
========================
This model is a fine-tuned version of TheBloke/Mistral-7B-v0.1-GPTQ on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7749
Model description
-----------------
More information needed
Intended uses & limitations
-----------... | [
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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": []} | la-min/GENI_GPT_Health | 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.
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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_mz-131f_IMDB
This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggingface.co/Eleuth... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-410m", "model-index": [{"name": "robust_llm_pythia-410m_mz-131f_IMDB", "results": []}]} | AlignmentResearch/robust_llm_pythia-410m_mz-131f_IMDB | null | [
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"text-classification",
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|
# robust_llm_pythia-410m_mz-131f_IMDB
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 procedure
### Trai... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | zandfj/LLaMA2-7B-Chat_-sft-sft-moren_042716 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_total_Instruction0_SAOPL_v1_h1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_total_Instruction0_SAOPL_v1_h1", "results": []}]} | ThuyNT/CS505_COQE_viT5_total_Instruction0_SAOPL_v1_h1 | null | [
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|
# CS505_COQE_viT5_total_Instruction0_SAOPL_v1_h1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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text-generation | transformers | Repeting [this experiemnt](https://huggingface.co/maxim-saplin/parrot-1_6B) of teaching LLM to follow chat structure and reply with all CAPS. This time with Gemma 2B as the base model. Compared to Stable LM 1.6B this model took 68 minutes (vs 11) and didn't learn the capability for RU language.
![image/png](https://cd... | {"language": ["en"], "pipeline_tag": "text-generation"} | maxim-saplin/parrot-gemma-2B | null | [
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#transformers #safetensors #gemma #text-generation #conversational #en #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Repeting this experiemnt of teaching LLM to follow chat structure and reply with all CAPS. This time with Gemma 2B as the base model. Compared to Stable LM 1.6B this model took 68 minutes (vs 11) and didn't learn the capability for RU language.
!image/png
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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": []} | aashish-249/Sarcasm_classification | 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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sentence-similarity | sentence-transformers | # Bulbasaur
This is a distill of [gte-tiny](https://huggingface.co/TaylorAI/gte-tiny) trained using [qa-assistant](https://huggingface.co/datasets/Mihaiii/qa-assistant).
## Intended purpose
<span style="color:blue">This model is designed for use in semantic-autocomplete ([click here for demo](https://mihaiii.github.... | {"license": "mit", "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "gte", "mteb"], "datasets": ["Mihaiii/qa-assistant"], "pipeline_tag": "sentence-similarity", "model-index": [{"name": "Bulbasaur", "results": [{"task": {"type": "Classification"}, "... | Mihaiii/Bulbasaur | null | [
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| # Bulbasaur
This is a distill of gte-tiny trained using qa-assistant.
## Intended purpose
<span style="color:blue">This model is designed for use in semantic-autocomplete (click here for demo).</span>
## Usage (Sentence-Transformers) (same as gte-tiny)
Using this model becomes easy when you have sentence-transform... | [
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null | null | # umiyuki-Japanese-Chat-Umievo-itr001-7b-gguf
[umiyukiさんが公開しているJapanese-Chat-Umievo-itr001-7b](https://huggingface.co/umiyuki/Japanese-Chat-Umievo-itr001-7b)のggufフォーマット変換版です。
imatrixのデータは[TFMC/imatrix-dataset-for-japanese-llm](https://huggingface.co/datasets/TFMC/imatrix-dataset-for-japanese-llm)を使用して作成しました。
## U... | {"language": ["en", "ja"], "license": "apache-2.0", "datasets": ["TFMC/imatrix-dataset-for-japanese-llm"]} | mmnga/umiyuki-Japanese-Chat-Umievo-itr001-7b-gguf | null | [
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"ja",
"dataset:TFMC/imatrix-dataset-for-japanese-llm",
"license:apache-2.0",
"region:us"
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"ja"
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#gguf #en #ja #dataset-TFMC/imatrix-dataset-for-japanese-llm #license-apache-2.0 #region-us
| # umiyuki-Japanese-Chat-Umievo-itr001-7b-gguf
umiyukiさんが公開しているJapanese-Chat-Umievo-itr001-7bのggufフォーマット変換版です。
imatrixのデータはTFMC/imatrix-dataset-for-japanese-llmを使用して作成しました。
## Usage
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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": []} | siddharth-magesh/lora-flan-t5-large-chat | 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": []} | stvhuang/rcr-run-5pqr6lwp-90396-master-0_20240402T105012-ep36 | null | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Boya1_RMSProp_1-e5_10Epoch_swinv2-tiny-patch4-window16-256_fold5
This model is a fine-tuned version of [microsoft/swinv2-tiny-pa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swinv2-tiny-patch4-window16-256", "model-index": [{"name": "Boya1_RMSProp_1-e5_10Epoch_swinv2-tiny-patch4-window16-256_fold5", "results": [{"task": {"type": "image-classification"... | onizukal/Boya1_RMSProp_1-e5_10Epoch_swinv2-tiny-patch4-window16-256_fold5 | null | [
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| Boya1\_RMSProp\_1-e5\_10Epoch\_swinv2-tiny-patch4-window16-256\_fold5
=====================================================================
This model is a fine-tuned version of microsoft/swinv2-tiny-patch4-window16-256 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio... | [
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text-generation | transformers | # Llama-3-8B-UltraMedical
> Experience it in our 🤗 [Huggingface Space Demo](https://huggingface.co/spaces/TsinghuaC3I/UltraMedical-LM)!
<!-- Provide a quick summary of what the model is/does. -->
Llama-3-8B-UltraMedical is an open-access large language model (LLM) specialized in biomedicine. Developed by the [Tsing... | {"license": "llama3", "datasets": ["TsinghuaC3I/UltraMedical"]} | TsinghuaC3I/Llama-3-8B-UltraMedical | null | [
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"license:llama3",
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-27T10:00:27+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #dataset-TsinghuaC3I/UltraMedical #license-llama3 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Llama-3-8B-UltraMedical
=======================
>
> Experience it in our Huggingface Space Demo!
>
>
>
Llama-3-8B-UltraMedical is an open-access large language model (LLM) specialized in biomedicine. Developed by the Tsinghua C3I Lab, this model aims to enhance medical examination access, literature comprehens... | [
"### Input Examples\n\n\nThis model utilizes the Llama-3 default chat template without a system prompt.\nBelow, we provide input examples for multi-choice QA, PubMedQA, and open-ended questions.\n\n\n\n> \n> Note: To reproduce our evaluation results for the medical QA benchmark, we recommend using the following for... | [
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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": []} | minhquy1624/fintune-bi-encoder-sts-regressor | null | [
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"safetensors",
"roberta",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #roberta #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:
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- License... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import PPO
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... | theegnas/ppo-LunarLander-v2 | null | [
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"reinforcement-learning",
"model-index",
"region:us"
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
text-generation | transformers | # Uploaded model
- **Developed by:** suriya7
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b
This Gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/u... | {"license": "mit", "datasets": ["databricks/databricks-dolly-15"]} | suriya7/Gemma-2b-SFT | null | [
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| # Uploaded model
- Developed by: suriya7
- License: apache-2.0
- Finetuned from model : unsloth/gemma-2b
This Gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
### Requirements
### Inference In Notebook
### Recommended Prompt Template
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sentence-similarity | sentence-transformers | # Ivysaur
This is a fine-tune of [gte-tiny](https://huggingface.co/TaylorAI/gte-tiny) using [qa-assistant](https://huggingface.co/datasets/Mihaiii/qa-assistant).
## Intended purpose
<span style="color:blue">This model is designed for use in semantic-autocomplete ([click here for demo](https://mihaiii.github.io/seman... | {"license": "mit", "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "gte", "mteb"], "datasets": ["Mihaiii/qa-assistant"], "base_model": "TaylorAI/gte-tiny", "pipeline_tag": "sentence-similarity", "model-index": [{"name": "Ivysaur", "results": [{"tas... | Mihaiii/Ivysaur | null | [
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| # Ivysaur
This is a fine-tune of gte-tiny using qa-assistant.
## Intended purpose
<span style="color:blue">This model is designed for use in semantic-autocomplete (click here for demo).</span>
## Usage (Sentence-Transformers) (same as gte-tiny)
Using this model becomes easy when you have sentence-transformers inst... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_5iters_bs256_nodpo_only4w_iter_2
This model is a fine-tuned version of [ShenaoZhang/0.001_5iters_bs256_nodpo_only4w_iter_1... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_5iters_bs256_nodpo_only4w_iter_1", "model-index": [{"name": "0.001_5iters_bs256_nodpo_only4w_iter_2", "results": []}]} | ShenaoZhang/0.001_5iters_bs256_nodpo_only4w_iter_2 | null | [
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# 0.001_5iters_bs256_nodpo_only4w_iter_2
This model is a fine-tuned version of ShenaoZhang/0.001_5iters_bs256_nodpo_only4w_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More i... | [
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text-generation | transformers | # Description
4-bit AWQ-quantized version of [stylellm/SanGuoYanYi-6b](https://huggingface.co/stylellm/SanGuoYanYi-6b)
| {"license": "other", "license_name": "yi-license", "license_link": "https://huggingface.co/01-ai/Yi-6B/blob/main/LICENSE"} | stylellm/SanGuoYanYi-6b-AWQ | null | [
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| # Description
4-bit AWQ-quantized version of stylellm/SanGuoYanYi-6b
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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": []} | aashish-249/Sentiment_classification | null | [
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"safetensors",
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"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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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. -->
# sft_small_model
This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "deepseek-ai/deepseek-coder-1.3b-base", "model-index": [{"name": "sft_small_model", "results": []}]} | stojchet/sft_small_model | null | [
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|
# sft_small_model
This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-base on the generator 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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object-detection | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr", "results": []}]} | tooltest/detr | null | [
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] | null | 2024-04-27T10:31:35+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #detr #object-detection #generated_from_trainer #base_model-facebook/detr-resnet-50 #license-apache-2.0 #endpoints_compatible #region-us
|
# detr
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The foll... | [
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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. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | orenot/distilbert-base-uncased-finetuned-emotion | null | [
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| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2090
* Accuracy: 0.926
* F1: 0.9259
Model description
-----------------
Mor... | [
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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. -->
# bertQA
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset... | {"tags": ["generated_from_trainer"], "base_model": "bert-base-uncased", "model-index": [{"name": "bertQA", "results": []}]} | krushnakant27/bertQA | null | [
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#transformers #tensorboard #safetensors #bert #question-answering #generated_from_trainer #base_model-bert-base-uncased #endpoints_compatible #region-us
| bertQA
======
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0003
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
T... | [
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reinforcement-learning | ml-agents |
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Docum... | {"library_name": "ml-agents", "tags": ["SoccerTwos", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SoccerTwos"]} | tarpalsus/poca-SoccerTwos | null | [
"ml-agents",
"tensorboard",
"onnx",
"SoccerTwos",
"deep-reinforcement-learning",
"reinforcement-learning",
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] | null | 2024-04-27T10:34:50+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SoccerTwos #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SoccerTwos #region-us
|
# poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* ... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-eurosat", "results": [{"task": {"type": "image-classification", "name": "Image Clas... | sharmajai901/swin-tiny-patch4-window7-224-finetuned-eurosat | null | [
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| swin-tiny-patch4-window7-224-finetuned-eurosat
==============================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3752
* Accuracy: 0.5238
Model description
------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 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 |
# BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio-Inspired Materials
Reference: R. Luu and M.J. Buehler, "BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio-Inspired Materials," Adv. Science, 2023, DOI: https://doi.org/10.1002/advs.2... | {"language": ["en"], "library_name": "transformers", "tags": ["biology", "materials science", "code", "scientific AI", "biological materials", "bioinspiration", "machine learning", "generative"]} | lamm-mit/Bioinspired-Phi-3-mini-128k | null | [
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... | null | 2024-04-27T10:35:30+00:00 | [
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|
# BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio-Inspired Materials
Reference: R. Luu and M.J. Buehler, "BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio-Inspired Materials," Adv. Science, 2023, DOI: URL
Abstract: The study of bi... | [
"# BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio-Inspired Materials\n\nReference: R. Luu and M.J. Buehler, \"BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio-Inspired Materials,\" Adv. Science, 2023, DOI: URL\n\nAbstract: The s... | [
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text-generation | transformers |
# BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio-Inspired Materials
Reference: R. Luu and M.J. Buehler, "BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio-Inspired Materials," Adv. Science, 2023, DOI: https://doi.org/10.1002/advs.2... | {"language": ["en"], "library_name": "transformers", "tags": ["biology", "materials science", "code", "scientific AI", "biological materials", "bioinspiration", "machine learning", "generative"]} | lamm-mit/Bioinspired-Phi-3-mini-4k | null | [
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... | null | 2024-04-27T10:37:24+00:00 | [
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|
# BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio-Inspired Materials
Reference: R. Luu and M.J. Buehler, "BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio-Inspired Materials," Adv. Science, 2023, DOI: URL
Abstract: The study of bi... | [
"# BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio-Inspired Materials\n\nReference: R. Luu and M.J. Buehler, \"BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio-Inspired Materials,\" Adv. Science, 2023, DOI: URL\n\nAbstract: The s... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_4iters_bs256_nodpo_only4w_zephyr_iter_4
This model is a fine-tuned version of [ShenaoZhang/0.001_4iters_bs256_nodpo_only4w... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_zephyr_iter_3", "model-index": [{"name": "0.001_4iters_bs256_nodpo_only4w_zephyr_iter_4", "re... | ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_zephyr_iter_4 | null | [
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# 0.001_4iters_bs256_nodpo_only4w_zephyr_iter_4
This model is a fine-tuned version of ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_zephyr_iter_3 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluatio... | [
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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. -->
# sft-model
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Lla... | {"tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "sft-model", "results": []}]} | Imran1/sft-model | null | [
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| sft-model
=========
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1932
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
Mor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 3407\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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null | span-marker | [Biopeak Male Enhancement](https://thecontingent.microsoftcrmportals.com/forums/general-discussion/80c05195-9d03-ef11-a73d-6045bd01c1cc) They can impede different prescriptions or intensify specific ailments. Aftereffects could incorporate skin break out, balding, state of mind swings, and changes in cholesterol lev... | {"language": ["en"], "license": "bigscience-openrail-m", "library_name": "span-marker", "tags": ["Biopeak Male Enhancement"]} | maleenhancement/biopeakmaleenhancement | null | [
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| Biopeak Male Enhancement They can impede different prescriptions or intensify specific ailments. Aftereffects could incorporate skin break out, balding, state of mind swings, and changes in cholesterol levels.Guideline and Quality: The enhancement business isn't generally very much controlled, and item quality can d... | [] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/6ih4k2q | 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": ["trl", "sft"]} | Imran1/fi | null | [
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null | transformers |
# Uploaded model
- **Developed by:** sourcetableteam
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | sourcetableteam/lora_model | null | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Weyaxi/Einstein-v6.1-Llama3-8B", "meta-llama/Meta-Llama-3-8B-Instruct", "meta-llama/Meta-Llama-3-8B"]} | Weyaxi/a | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using meta-llama/Meta-Llama-3-8B as a base.
### Models Merged
The following models were included in the merge:
* Weyaxi/Einstein-v6.1-Llama3-8B
* meta-l... | [
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"## Merge Details",
"### Merge Method\n\nThis model was merged using the TIES merge method using meta-llama/Meta-Llama-3-8B as a base.",
"### Models Merged\n\nThe following models were included in the merge:\n* Weyaxi/Einstei... | [
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null | transformers |
# s0br/Llama-3-8B-Web-Q6_K-GGUF
This model was converted to GGUF format from [`McGill-NLP/Llama-3-8B-Web`](https://huggingface.co/McGill-NLP/Llama-3-8B-Web) 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://huggingfac... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["agents", "agent", "llm", "llama", "llama-cpp", "gguf-my-repo"], "datasets": ["McGill-NLP/WebLINX"]} | s0br/Llama-3-8B-Web-Q6_K-GGUF | null | [
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|
# s0br/Llama-3-8B-Web-Q6_K-GGUF
This model was converted to GGUF format from 'McGill-NLP/Llama-3-8B-Web' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: Y... | [
"# s0br/Llama-3-8B-Web-Q6_K-GGUF\nThis model was converted to GGUF format from 'McGill-NLP/Llama-3-8B-Web' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Boya1_RMSProp_1-e5_10Epoch_swinv2-large-patch4_fold1
This model is a fine-tuned version of [microsoft/swinv2-large-patch4-window... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft", "model-index": [{"name": "Boya1_RMSProp_1-e5_10Epoch_swinv2-large-patch4_fold1", "results": [{"task": {"type": "image-classi... | onizukal/Boya1_RMSProp_1-e5_10Epoch_swinv2-large-patch4_fold1 | null | [
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| Boya1\_RMSProp\_1-e5\_10Epoch\_swinv2-large-patch4\_fold1
=========================================================
This model is a fine-tuned version of microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9171... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio: ... | [
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question-answering | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | NeginShams/parsbert-extratranslation | null | [
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"1910.09700"
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#transformers #safetensors #bert #question-answering #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.
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- Funded by [optional]:
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Yoav-Yosef/toxic-comment-detection-model | null | [
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"1910.09700"
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#transformers #safetensors #distilbert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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- License... | [
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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": []} | BaoLoi2003/vinallama-peft-7b-math-solver | 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.
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- Funded by [optional]:
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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": []} | aravindhank/valuenet-bart-base | null | [
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"safetensors",
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"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #bart #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:
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- License... | [
"# Model Card for Model ID",
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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. -->
# distilbert-imdb-mlflow
This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-case... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-cased", "model-index": [{"name": "distilbert-imdb-mlflow", "results": []}]} | nirmeshdell/distilbert-imdb-mlflow | null | [
"transformers",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert-base-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-27T11:00:21+00:00 | [] | [] | TAGS
#transformers #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# distilbert-imdb-mlflow
This model is a fine-tuned version of distilbert-base-cased 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 hyperpara... | [
"# distilbert-imdb-mlflow\n\nThis model is a fine-tuned version of distilbert-base-cased on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedu... | [
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text-generation | transformers |
For some reason this model is SLOW!
but it is highly powerful: Create a Prompt and let it perform the TASK!
Im not sure about its conversive powers! (but task based !!!!!@)
## MODELS !! :: : - Why?
New base Mode Generation from the final Cybertron series model and the Final CyberSeries Models :|
It would seem th... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["baseModel"], "base_model": ["LeroyDyer/Mixtral_AI_Cyber_Boss", "LeroyDyer/Mixtral_AI_CyberUltron", "mistralai/Mistral-7B-Instruct-v0.2"]} | LeroyDyer/Mixtral_AI_2.0_7b | null | [
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|
For some reason this model is SLOW!
but it is highly powerful: Create a Prompt and let it perform the TASK!
Im not sure about its conversive powers! (but task based !!!!!@)
## MODELS !! :: : - Why?
New base Mode Generation from the final Cybertron series model and the Final CyberSeries Models :|
It would seem th... | [
"## MODELS !! :: : - Why?\n\nNew base Mode Generation from the final Cybertron series model and the Final CyberSeries Models :|\nIt would seem that some models are not registering on the board ?? perhaps there is a limmit per person ! :\n\nfollowers should know that the cyberboss was my highest model (renamed)\nAn... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/saucam/Skyro-4X8B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "moe", "frankenmoe", "abacusai/Llama-3-Smaug-8B", "cognitivecomputations/dolphin-2.9-llama3-8b", "Weyaxi/Einstein-v6.1-Llama3-8B", "dreamgen-preview/opus-v1.2-llama-3-8b-base-run3.4-epoch2"], "base_model": "sauca... | mradermacher/Skyro-4X8B-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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question-answering | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | NeginShams/albert-extratranslation | 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 |
# Uploaded model
- **Developed by:** hunterlee27
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslot... | {"language": ["en", "zh"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | hunterlee27/chinese-llama3-full-model | null | [
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text-generation | transformers |
## Model Summary
The Phi-3-mini-mango-1 is an instruct finetune of [Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) with 4K context and 3.8B parameters.
It is a first cut of finetuning Phi-3 (which is a great model!) to explore its properties and behaviour. More to follow.
You will ... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code"], "license_link": "https://huggingface.co/rhysjones/Phi-3-mini-mango-1/resolve/main/LICENSE", "pipeline_tag": "text-generation", "widget": [{"messages": [{"role": "user", "content": "Can you provide ways to eat combinations of bananas and dragonfruits?"}]}]} | rhysjones/Phi-3-mini-mango-1 | null | [
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|
## Model Summary
The Phi-3-mini-mango-1 is an instruct finetune of Phi-3-mini-4k-instruct with 4K context and 3.8B parameters.
It is a first cut of finetuning Phi-3 (which is a great model!) to explore its properties and behaviour. More to follow.
You will need to update your local transformers to the development v... | [
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null | transformers |
# Uploaded model
- **Developed by:** kevinasyraf
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | kevinasyraf/llama-3-8b-instruct-id-v1 | null | [
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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": "ai-forever/FRED-T5-1.7B"} | chibeenot/aspect_tonality | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
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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. -->
# speaker-segmentation-fine-tuned-simsamu
This model is a fine-tuned version of [pyannote/segmentation-3.0](https://huggingface.co... | {"license": "mit", "tags": ["speaker-diarization", "speaker-segmentation", "generated_from_trainer"], "datasets": ["diarizers-community/simsamu"], "base_model": "pyannote/segmentation-3.0", "model-index": [{"name": "speaker-segmentation-fine-tuned-simsamu", "results": []}]} | tgrhn/speaker-segmentation-fine-tuned-simsamu | null | [
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| speaker-segmentation-fine-tuned-simsamu
=======================================
This model is a fine-tuned version of pyannote/segmentation-3.0 on the diarizers-community/simsamu default dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2302
* Der: 0.0911
* False Alarm: 0.0236
* Missed Det... | [
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text-classification | setfit |
# SetFit with sentence-transformers/paraphrase-mpnet-base-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2) as the S... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "sentence-transformers/paraphrase-mpnet-base-v2", "widget": [{"text": "I need to repair an issue I found in my policy."}, {"text": "I'm wondering about t... | harshita23sh/setfit-model-intent-classification-insurance | null | [
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| SetFit with sentence-transformers/paraphrase-mpnet-base-v2
==========================================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/paraphrase-mpnet-base-v2 as the Sentence Transformer embedding model. A LogisticRegression... | [
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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. -->
# speaker-segmentation-fine-tuned-simsamu-2
This model is a fine-tuned version of [pyannote/segmentation-3.0](https://huggingface.... | {"license": "mit", "tags": ["speaker-diarization", "speaker-segmentation", "generated_from_trainer"], "datasets": ["diarizers-community/simsamu"], "base_model": "pyannote/segmentation-3.0", "model-index": [{"name": "speaker-segmentation-fine-tuned-simsamu-2", "results": []}]} | tgrhn/speaker-segmentation-fine-tuned-simsamu-2 | null | [
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| speaker-segmentation-fine-tuned-simsamu-2
=========================================
This model is a fine-tuned version of pyannote/segmentation-3.0 on the diarizers-community/simsamu default dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2428
* Der: 0.0861
* False Alarm: 0.0245
* Missed... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.001\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: cosine\n* num\\_epochs: 10.0",
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null | transformers |
# Uploaded model
- **Developed by:** Dogge
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/mai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Dogge/llama-3-translate-enko | null | [
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|
# Uploaded model
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text-generation | transformers |
# mlx-community/Swallow-70b-instruct-v0.1-8bit
This model was converted to MLX format from [`tokyotech-llm/Swallow-70b-instruct-v0.1`]() using mlx-lm version **0.6.0**.
Refer to the [original model card](https://huggingface.co/tokyotech-llm/Swallow-70b-instruct-v0.1) for more details on the model.
## Use with mlx
```... | {"language": ["en", "ja"], "license": "llama2", "library_name": "transformers", "tags": ["mlx"], "pipeline_tag": "text-generation", "model_type": "llama"} | mlx-community/Swallow-70b-instruct-v0.1-8bit | null | [
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"ja",
"license:llama2",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-27T11:12:42+00:00 | [] | [
"en",
"ja"
] | TAGS
#transformers #safetensors #llama #text-generation #mlx #conversational #en #ja #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# mlx-community/Swallow-70b-instruct-v0.1-8bit
This model was converted to MLX format from ['tokyotech-llm/Swallow-70b-instruct-v0.1']() using mlx-lm version 0.6.0.
Refer to the original model card for more details on the model.
## Use with mlx
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text-generation | transformers |
# Uploaded model
- **Developed by:** Dogge
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/mai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Dogge/llama-3-translate-enko-bf16 | null | [
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|
# Uploaded model
- Developed by: Dogge
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
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question-answering | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | NeginShams/roberta-extratranslation | null | [
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#transformers #safetensors #xlm-roberta #question-answering #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.
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-small-finetuned-xsum
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
I... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "t5-small-finetuned-xsum", "results": []}]} | honganhle1903/t5-small-finetuned-xsum | null | [
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| t5-small-finetuned-xsum
=======================
This model is a fine-tuned version of t5-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5091
* Rouge1: 15.8853
* Rouge2: 5.7363
* Rougel: 13.5746
* Rougelsum: 13.6787
* Gen Len: 19.0
Model description
-----------------
... | [
"### 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: 1",
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - egioia/corgy_coins_LoRA
<Gallery />
## Model description
These are egioia/corgy_coins_LoRA LoR... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stabl... | egioia/corgy_coins_LoRA | null | [
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"region:us"
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|
# SDXL LoRA DreamBooth - egioia/corgy_coins_LoRA
<Gallery />
## Model description
These are egioia/corgy_coins_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
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Special VAE used for training: madeb... | [
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null | null | ---
license: cc-by-sa-4.0
---
# v4からの修正点
数字を全て一桁区切りに。
# 説明
wikipedia, mbpp, grade-school-mathで学習したトークナイザー。
## 学習に使ったデータ
- 英語：1.33GB (wiki40b)<br>
- 日本語：1.78GB (wiki40b) ※形態素単位で"||||"で事前分割してsentencepieceの学習時にpretokenization_delimiterを設定。<br>
- コード：172KB (mbpp) <br>
- 数学：2.1MB (grade-school-math)
-
## 語彙の追加
以下を参考に日本語の... | {"license": "cc-by-sa-4.0"} | geniacllm/ja-en-tokenizer-unigram-v5 | null | [
"license:cc-by-sa-4.0",
"region:us"
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#license-cc-by-sa-4.0 #region-us
| ---
license: cc-by-sa-4.0
---
# v4からの修正点
数字を全て一桁区切りに。
# 説明
wikipedia, mbpp, grade-school-mathで学習したトークナイザー。
## 学習に使ったデータ
- 英語：1.33GB (wiki40b)<br>
- 日本語：1.78GB (wiki40b) ※形態素単位で"||||"で事前分割してsentencepieceの学習時にpretokenization_delimiterを設定。<br>
- コード：172KB (mbpp) <br>
- 数学：2.1MB (grade-school-math)
-
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以下を参考に日本語の... | [
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text-generation | transformers |
# miqu-evil-dpo
# **Model Details**
## Description
miqu-evil-dpo is fine-tuned model based on miqu, serving as a direct successor to PiVoT-0.1-Evil-a.
It is trained with evil-tune method applied.
<!-- prompt-template start -->
## Prompt template: Mistral Inst
```
<s> [INST] {inst} [... | {"language": ["en"], "license": "other", "tags": ["not-for-all-audiences"], "license_name": "miqu-license", "license_link": "LICENSE", "pipeline_tag": "text-generation"} | blockblockblock/miqu-evil-dpo-bpw6-exl2 | null | [
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|
# miqu-evil-dpo
# Model Details
## Description
miqu-evil-dpo is fine-tuned model based on miqu, serving as a direct successor to PiVoT-0.1-Evil-a.
It is trained with evil-tune method applied.
!image/png
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text-generation | transformers |
# Uploaded model
- **Developed by:** Dogge
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/mai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Dogge/llama-3-translate-enko-4bit | null | [
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|
# Uploaded model
- Developed by: Dogge
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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text-generation | transformers |
<p align="center" style="margin:0;padding:0">
<img src="https://huggingface.co/BramVanroy/fietje-2b-instruct/resolve/main/img/fietje-2b-banner-rounded.png" alt="Fietje banner" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
</p>
<div style="margin:auto; text-align:center">
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"license... | null | 2024-04-27T11:18:30+00:00 | [] | [
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Fietje 2B Instruct
==================
*An open and efficient LLM for Dutch*
>
>
> [<a href="URL with Fietje here!</strong>](URL GGUF of Instruct</a>
> </p>
> <p align=)
>
>
>
>
This is the instruct version of Fietje, an SFT-tuned (instruction-tuned) variant of the base model. Fietje i... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 6e-05\n* train\\_batch\\_size: 42\n* eval\\_batch\\_size: 42\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 16\n* total\\_train\\_batch\\_size: 672\n* total\\_eval\\_batch\\_size: 672\... | [
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text-generation | transformers |
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
<!-- header... | {"language": ["en"], "license": "other", "tags": ["meta", "llama-3"], "license_name": "llama3", "base_model": "gradientai/Llama-3-8B-Instruct-262k", "inference": false, "model_creator": "gradient.ai", "model_type": "llama", "pipeline_tag": "text-generation", "quantized_by": "Second State Inc."} | second-state/Llama-3-8B-Instruct-262k-GGUF | null | [
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|
---
Llama-3-8B-Instruct-262k-GGUF
=============================
Original Model
--------------
gradientai/Llama-3-8B-Instruct-262k
Run with LlamaEdge
------------------
* LlamaEdge version: v0.8.3 and above
* Prompt template
+ Prompt type: 'llama-3-chat'
+ Prompt string
* Context size: ... | [] | [
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text-to-image | diffusers | # facefusion
<Gallery />
## Download model
[Download](/ramiz6900/facefusion/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "-", "output": {"url": "images/images.jpg"}}], "base_model": "h94/IP-Adapter-FaceID"} | ramiz6900/facefusion | null | [
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-h94/IP-Adapter-FaceID #region-us
| # facefusion
<Gallery />
## Download model
Download them in the Files & versions tab.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/mv938bk | 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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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:
* [meta-llama/Meta-Llama-3-8B](https://hugging... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["meta-llama/Meta-Llama-3-8B", "meta-llama/Meta-Llama-3-8B-Instruct"]} | skuma307/Llama3-base-instruct-SLERP | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* meta-llama/Meta-Llama-3-8B
* meta-llama/Meta-Llama-3-8B-Instruct
### Configurati... | [
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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/final10 | 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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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": []} | rikitonoto/lua_tokenizer | null | [
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question-answering | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | NeginShams/mbert-extratranslation | null | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.01_4iters_bs256_nodpo_only4w_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingf... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.01_4iters_bs256_nodpo_only4w_iter_1", "results": []}]} | ShenaoZhang/0.01_4iters_bs256_nodpo_only4w_iter_1 | null | [
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|
# 0.01_4iters_bs256_nodpo_only4w_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
... | [
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null | transformers |
# Gemma Model Card
**Model Page**: [Gemma](https://ai.google.dev/gemma/docs)
This model card corresponds to the latest 2B instruct version of the Gemma model. Here you can find other models in the Gemma family:
| | Base | Instruct ... | {"license": "gemma", "library_name": "transformers", "widget": [{"messages": [{"role": "user", "content": "How does the brain work?"}]}], "inference": {"parameters": {"max_new_tokens": 200}}, "extra_gated_heading": "Access Gemma on Hugging Face", "extra_gated_prompt": "To access Gemma on Hugging Face, you\u2019re requi... | jncraton/gemma-1.1-2b-it-ct2-int8 | null | [
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================
Model Page: Gemma
This model card corresponds to the latest 2B instruct version of the Gemma model. Here you can find other models in the Gemma family:
Base: 2B, Instruct: gemma-2b
Base: 7B, Instruct: gemma-7b
Release Notes
This is Gemma 1.1 2B (IT), an update over the origin... | [
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question-answering | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | NeginShams/albert-Quran_QA | null | [
"transformers",
"safetensors",
"bert",
"question-answering",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-27T11:35:42+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #question-answering #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 |
# Mistral-child-1-1
Mistral-child-1-1 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta)
* [meta-math/MetaMath-Mistral-7B](https://huggingface.co/meta-math/MetaMath-Mistral-7B)
## 🧩 Configurati... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "HuggingFaceH4/zephyr-7b-beta", "meta-math/MetaMath-Mistral-7B"]} | PotatoB/Mistral-child-1-1 | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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|
# Mistral-child-1-1
Mistral-child-1-1 is a merge of the following models using mergekit:
* HuggingFaceH4/zephyr-7b-beta
* meta-math/MetaMath-Mistral-7B
## Configuration
| [
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null | null | EXL2 quants of [Qwen1.5 110B Chat](https://huggingface.co/Qwen/Qwen1.5-110B-Chat)
[2.50 bits per weight](https://huggingface.co/turboderp/Qwen1.5-110B-Chat-exl2/tree/2.5bpw)
[3.00 bits per weight](https://huggingface.co/turboderp/Qwen1.5-110B-Chat-exl2/tree/3.0bpw)
[3.50 bits per weight](https://huggingface.... | {} | turboderp/Qwen1.5-110B-Chat-exl2 | null | [
"region:us"
] | null | 2024-04-27T11:37:29+00:00 | [] | [] | TAGS
#region-us
| EXL2 quants of Qwen1.5 110B Chat
2.50 bits per weight
3.00 bits per weight
3.50 bits per weight
4.00 bits per weight
4.50 bits per weight
(More sizes coming.)
URL | [] | [
"TAGS\n#region-us \n"
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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... | {"language": ["ru"], "library_name": "transformers", "datasets": ["tay-yozhik/SyntheticTexts"]} | v-urushkin/SyntheticGPT2-small | null | [
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"safetensors",
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"feature-extraction",
"ru",
"dataset:tay-yozhik/SyntheticTexts",
"arxiv:1910.09700",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-27T11:37:39+00:00 | [
"1910.09700"
] | [
"ru"
] | TAGS
#transformers #safetensors #gpt2 #feature-extraction #ru #dataset-tay-yozhik/SyntheticTexts #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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null | null | Apa itu Arthricore Tablet?
Arthricore Harga berdiri sebagai kapsul berkualitas premium yang dibuat untuk membantu mengelola hipertensi dan meningkatkan kesehatan jantung. Formula canggihnya memadukan campuran herbal, vitamin, dan mineral yang sinergis, dipilih dengan cermat untuk mengatasi penyebab utama tekanan darah... | {"license": "apache-2.0"} | ArthricoreIndonesia/Arthricore | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-27T11:39:29+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| Apa itu Arthricore Tablet?
Arthricore Harga berdiri sebagai kapsul berkualitas premium yang dibuat untuk membantu mengelola hipertensi dan meningkatkan kesehatan jantung. Formula canggihnya memadukan campuran herbal, vitamin, dan mineral yang sinergis, dipilih dengan cermat untuk mengatasi penyebab utama tekanan darah... | [] | [
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question-answering | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | NeginShams/parsbert-Quran_QA | null | [
"transformers",
"safetensors",
"bert",
"question-answering",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-27T11:41:56+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #question-answering #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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image-to-image | diffusers |
Recommended version of `diffusers` is `0.20.2` with `torch` `2`.
Usage Example:
```python
import torch
import requests
from PIL import Image
from diffusers import DiffusionPipeline, EulerAncestralDiscreteScheduler
# Load the pipeline
pipeline = DiffusionPipeline.from_pretrained(
"S1T4L/Zero123pp_custom", custom_... | {"license": "openrail", "library_name": "diffusers", "tags": ["art"], "datasets": ["allenai/objaverse"], "pipeline_tag": "image-to-image"} | S1T4L/Zero123pp_custom | null | [
"diffusers",
"art",
"image-to-image",
"dataset:allenai/objaverse",
"license:openrail",
"diffusers:Zero123PlusPipeline",
"region:us"
] | null | 2024-04-27T11:42:02+00:00 | [] | [] | TAGS
#diffusers #art #image-to-image #dataset-allenai/objaverse #license-openrail #diffusers-Zero123PlusPipeline #region-us
|
Recommended version of 'diffusers' is '0.20.2' with 'torch' '2'.
Usage Example:
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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:
* [TeeZee/DarkSapling-7B-v2.0](https://hugging... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["TeeZee/DarkSapling-7B-v2.0", "MaziyarPanahi/bagel-dpo-7b-v0.1-Mistral-7B-Instruct-v0.2-slerp"]} | DavidAU/D_AU-Mistral-7B-Instruct-v0.2-Bagel-DarkSapling-DPO-7B-v2.0 | null | [
"transformers",
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"mistral",
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"base_model:TeeZee/DarkSapling-7B-v2.0",
"base_model:MaziyarPanahi/bagel-dpo-7b-v0.1-Mistral-7B-Instruct-v0.2-slerp",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",... | null | 2024-04-27T11:43:03+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-TeeZee/DarkSapling-7B-v2.0 #base_model-MaziyarPanahi/bagel-dpo-7b-v0.1-Mistral-7B-Instruct-v0.2-slerp #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:
* TeeZee/DarkSapling-7B-v2.0
* MaziyarPanahi/bagel-dpo-7b-v0.1-Mistral-7B-Instruct-... | [
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text-generation | transformers |
# stablelm-2-zephyr-1.6b-taskarith1
stablelm-2-zephyr-1.6b-taskarith1 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [aipib/stablelm-2-zephyr-1.6b-slerpx9](https://huggingface.co/aipib/stablelm-2-zephyr-1.6b-slerpx9)
* ... | {"tags": ["merge", "mergekit", "lazymergekit", "aipib/stablelm-2-zephyr-1.6b-slerpx9", "stabilityai/stablelm-2-zephyr-1_6b"], "base_model": ["aipib/stablelm-2-zephyr-1.6b-slerpx9", "stabilityai/stablelm-2-zephyr-1_6b"]} | aipib/stablelm-2-zephyr-1.6b-taskarith1 | null | [
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"text-generation",
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"conversational",
"base_model:aipib/stablelm-2-zephyr-1.6b-slerpx9",
"base_model:stabilityai/stablelm-2-zephyr-1_6b",... | null | 2024-04-27T11:47:00+00:00 | [] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #merge #mergekit #lazymergekit #aipib/stablelm-2-zephyr-1.6b-slerpx9 #stabilityai/stablelm-2-zephyr-1_6b #conversational #base_model-aipib/stablelm-2-zephyr-1.6b-slerpx9 #base_model-stabilityai/stablelm-2-zephyr-1_6b #autotrain_compatible #endpoints_compatible ... |
# stablelm-2-zephyr-1.6b-taskarith1
stablelm-2-zephyr-1.6b-taskarith1 is a merge of the following models using LazyMergekit:
* aipib/stablelm-2-zephyr-1.6b-slerpx9
* stabilityai/stablelm-2-zephyr-1_6b
## Configuration
## Usage
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question-answering | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | NeginShams/xlm-roberta-Quran_QA | null | [
"transformers",
"safetensors",
"xlm-roberta",
"question-answering",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-27T11:47:02+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #xlm-roberta #question-answering #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",
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text-generation | transformers |
# Phi-3 MoE mini 4k instruct raw
The is a 8x MoE version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct).
It is based on the Llamafied version [vonjack/Phi-3-mini-4k-instruct-LLaMAfied](https://huggingface.co/vonjack/Phi-3-mini-4k-instruct-LLaMAfied) of
[Gan Feng](https... | {"license": "mit"} | PhilipMay/Phi-3-MoE-mini-4k-instruct-raw | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"conversational",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-27T11:47:58+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #conversational #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Phi-3 MoE mini 4k instruct raw
The is a 8x MoE version of microsoft/Phi-3-mini-4k-instruct.
It is based on the Llamafied version vonjack/Phi-3-mini-4k-instruct-LLaMAfied of
Gan Feng.
It was created with the help of mergekit with this
configuration and this command:
As the router was initialized randomly during... | [
"# Phi-3 MoE mini 4k instruct raw\n\nThe is a 8x MoE version of microsoft/Phi-3-mini-4k-instruct.\nIt is based on the Llamafied version vonjack/Phi-3-mini-4k-instruct-LLaMAfied of \nGan Feng.\n\nIt was created with the help of mergekit with this\nconfiguration and this command:\n\n\n\nAs the router was initialized ... | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #conversational #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Phi-3 MoE mini 4k instruct raw\n\nThe is a 8x MoE version of microsoft/Phi-3-mini-4k-instruct.\nIt is based on the Llamafied version vo... | [
41,
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] | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #conversational #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Phi-3 MoE mini 4k instruct raw\n\nThe is a 8x MoE version of microsoft/Phi-3-mini-4k-instruct.\nIt is based on the Llamafied version vonjack/... |
null | transformers |
# DavidAU/D_AU-Mistral-7B-Instruct-v0.2-Bagel-DarkSapling-DPO-7B-v2.0-Q8_0-GGUF
This model was converted to GGUF format from [`DavidAU/D_AU-Mistral-7B-Instruct-v0.2-Bagel-DarkSapling-DPO-7B-v2.0`](https://huggingface.co/DavidAU/D_AU-Mistral-7B-Instruct-v0.2-Bagel-DarkSapling-DPO-7B-v2.0) using llama.cpp via the ggml.a... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["TeeZee/DarkSapling-7B-v2.0", "MaziyarPanahi/bagel-dpo-7b-v0.1-Mistral-7B-Instruct-v0.2-slerp"]} | DavidAU/D_AU-Mistral-7B-Instruct-v0.2-Bagel-DarkSapling-DPO-7B-v2.0-Q8_0-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"base_model:TeeZee/DarkSapling-7B-v2.0",
"base_model:MaziyarPanahi/bagel-dpo-7b-v0.1-Mistral-7B-Instruct-v0.2-slerp",
"endpoints_compatible",
"region:us"
] | null | 2024-04-27T11:52:55+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-TeeZee/DarkSapling-7B-v2.0 #base_model-MaziyarPanahi/bagel-dpo-7b-v0.1-Mistral-7B-Instruct-v0.2-slerp #endpoints_compatible #region-us
|
# DavidAU/D_AU-Mistral-7B-Instruct-v0.2-Bagel-DarkSapling-DPO-7B-v2.0-Q8_0-GGUF
This model was converted to GGUF format from 'DavidAU/D_AU-Mistral-7B-Instruct-v0.2-Bagel-DarkSapling-DPO-7B-v2.0' 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
... | [
"# DavidAU/D_AU-Mistral-7B-Instruct-v0.2-Bagel-DarkSapling-DPO-7B-v2.0-Q8_0-GGUF\nThis model was converted to GGUF format from 'DavidAU/D_AU-Mistral-7B-Instruct-v0.2-Bagel-DarkSapling-DPO-7B-v2.0' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Us... | [
"TAGS\n#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-TeeZee/DarkSapling-7B-v2.0 #base_model-MaziyarPanahi/bagel-dpo-7b-v0.1-Mistral-7B-Instruct-v0.2-slerp #endpoints_compatible #region-us \n",
"# DavidAU/D_AU-Mistral-7B-Instruct-v0.2-Bagel-DarkSapling-DPO-7B-v2.0-Q8_0-GGUF\nThis model ... | [
98,
130,
52
] | [
"TAGS\n#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-TeeZee/DarkSapling-7B-v2.0 #base_model-MaziyarPanahi/bagel-dpo-7b-v0.1-Mistral-7B-Instruct-v0.2-slerp #endpoints_compatible #region-us \n# DavidAU/D_AU-Mistral-7B-Instruct-v0.2-Bagel-DarkSapling-DPO-7B-v2.0-Q8_0-GGUF\nThis model was co... |
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-bs-cs-train-noaug-test-tstretch20-gain10-pitch20-gaussian20-lowpass10-mp3
This model is a fine-tuned version of [openai/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-base", "model-index": [{"name": "whisper-bs-cs-train-noaug-test-tstretch20-gain10-pitch20-gaussian20-lowpass10-mp3", "results": [{"task": {"type": "automatic-speech-recognit... | LadislavVasina1/whisper-bs-cs-train-noaug-test-tstretch20-gain10-pitch20-gaussian20-lowpass10-mp3 | null | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"dataset:common_voice_11_0",
"base_model:openai/whisper-base",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-27T11:53:08+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #dataset-common_voice_11_0 #base_model-openai/whisper-base #license-apache-2.0 #model-index #endpoints_compatible #region-us
| whisper-bs-cs-train-noaug-test-tstretch20-gain10-pitch20-gaussian20-lowpass10-mp3
=================================================================================
This model is a fine-tuned version of openai/whisper-base on the common\_voice\_11\_0 dataset.
It achieves the following results on the evaluation set:
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #dataset-common_voice_11_0 #base_model-openai/whisper-base #license-apache-2.0 #model-index #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used... | [
67,
149,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #dataset-common_voice_11_0 #base_model-openai/whisper-base #license-apache-2.0 #model-index #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used durin... |
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