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null | adapter-transformers |
# Adapter `BigTMiami/m_imdb_par_bn_v_4_class_adp_lr_0003_S_3` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/imdb_sentiment_dataset](https://huggingface.co/datasets/BigTMiami/imdb_sentiment_dataset/) dataset and includes a prediction head for class... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/imdb_sentiment_dataset"]} | BigTMiami/m_imdb_par_bn_v_4_class_adp_lr_0003_S_3 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/imdb_sentiment_dataset",
"region:us"
] | null | 2024-04-21T02:21:23+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/imdb_sentiment_dataset #region-us
|
# Adapter 'BigTMiami/m_imdb_par_bn_v_4_class_adp_lr_0003_S_3' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/imdb_sentiment_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, in... | [
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text-generation | transformers | # Aura Uncensored l3 (AWQ quant)
This is the culmination of all my efforts for the Aura line. I have taken the original training data and applied it over Undi95's Unholy base model. This model can an... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": ["Undi95/Llama-3-Unholy-8B", "Undi95/Llama-3-Unholy-8B", "ResplendentAI/Aura_Llama3", "Undi95/Llama-3-Unholy-8B", "ResplendentAI/RP_Format_QuoteAsterisk_Llama3", "Undi95/Llama-3-Unholy-8B", "ResplendentAI/Luna_Llama3", "Undi95/L... | lucyknada/Aura_Uncensored_l3_8B-AWQ | null | [
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| # Aura Uncensored l3 (AWQ quant)
!image/png
This is the culmination of all my efforts for the Aura line. I have taken the original training data and applied it over Undi95's Unholy base model. This model can and will provide unsafe information and RP. I strongly recommend that you do not use this model if you are sen... | [
"# Aura Uncensored l3 (AWQ quant)\n\n!image/png\n\nThis is the culmination of all my efforts for the Aura line. I have taken the original training data and applied it over Undi95's Unholy base model. This model can and will provide unsafe information and RP. I strongly recommend that you do not use this model if yo... | [
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text-generation | transformers |
How to use
```Python
from transformers import AutoModelForCausalLM, AutoTokenizer, TextGenerationPipeline
model_path = 'fiveflow/ATOMM'
tokenizer = AutoTokenizer.from_pretrained(model_path)
model = AutoModelForCausalLM.from_pretrained(model_path,
device_map="auto",
... | {"language": ["ko"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.1", "model-index": [{"name": "fiveflow/ATOMM-v0.18", "results": []}]} | fiveflow/ATOMM | null | [
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|
How to use
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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. -->
# llama3-poison-5p
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama... | {"license": "other", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "llama3-poison-5p", "results": []}]} | Jackie999/llama3-poison-5p | null | [
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"license:other",
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| llama3-poison-5p
================
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the HuggingFaceH4/ultrachat\_200k dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1432
Model description
-----------------
More information needed
Intended uses & limitations
-----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 32\n... | [
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text-generation | transformers |
## Llamacpp iMatrix Quantizations of Llama-3-Orca-1.0-8B
This model has the <|eot_id|> token set to not-special, which seems to work better with current inference engines.
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> fork from pcuenca <a href="https://github.com/pcuenca/llama.cpp/tree/llama3... | {"license": "other", "library_name": "transformers", "datasets": ["Open-Orca/SlimOrca-Dedup", "jondurbin/airoboros-3.2", "microsoft/orca-math-word-problems-200k", "m-a-p/Code-Feedback", "MaziyarPanahi/WizardLM_evol_instruct_V2_196k"], "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/Llama-3-Orca-1.0-8B-GGUF | null | [
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"reg... | null | 2024-04-21T02:25:35+00:00 | [] | [] | TAGS
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| Llamacpp iMatrix Quantizations of Llama-3-Orca-1.0-8B
-----------------------------------------------------
This model has the <|eot\_id|> token set to not-special, which seems to work better with current inference engines.
Using <a href="URL fork from pcuenca <a href="URL for quantization.
Original model: URL
... | [] | [
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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-ep26 | null | [
"transformers",
"safetensors",
"xlm-roberta",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T02:27:25+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #xlm-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.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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null | null | # 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語彙を追加。
- wikitinary 目次一覧（名詞・形容詞・形容動詞・副詞・接尾辞・助詞・動詞などから一般... | {"license": "cc-by-sa-4.0"} | geniacllm/ja-en-tokenizer-unigram-v4 | null | [
"license:cc-by-sa-4.0",
"region:us"
] | null | 2024-04-21T02:29:20+00:00 | [] | [] | TAGS
#license-cc-by-sa-4.0 #region-us
| # 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語彙を追加。
- wikitinary 目次一覧（名詞・形容詞・形容動詞・副詞・接尾辞・助詞・動詞などから一般... | [
"# 説明\nwikipedia, mbpp, grade-school-mathで学習したトークナイザー。",
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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": []} | galbitang/koalpacapoly-user111-100 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T02:29:54+00:00 | [
"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]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-classification | transformers |
# Finetune MLM Malaysian Mistral 191M on MNLI
Original model https://huggingface.co/mesolitica/malaysian-mistral-191M-MLM-512, done by https://github.com/aisyahrzk https://twitter.com/aisyahhhrzk
**You must use model from here https://github.com/mesolitica/malaya/blob/master/session/llm2vec/classifier.py**
## datas... | {"language": ["ms"], "library_name": "transformers"} | mesolitica/mnli-malaysian-mistral-191M-MLM-512 | null | [
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"text-classification",
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#transformers #safetensors #mistral #text-classification #custom_code #ms #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Finetune MLM Malaysian Mistral 191M on MNLI
Original model URL done by URL URL
You must use model from here URL
## dataset
1. source code at URL
2. prepared dataset at URL
## Accuracy
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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": []} | IntervitensInc/intv_l3_mk7 | null | [
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"text-generation",
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T02:31:53+00:00 | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# mix-llama-3-8B-inst-line
mix-llama-3-8B-inst-line is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)
## 🧩 Configurati... | {"tags": ["merge", "mergekit", "lazymergekit", "NousResearch/Meta-Llama-3-8B-Instruct"], "base_model": ["NousResearch/Meta-Llama-3-8B-Instruct"]} | JoPmt/mix-llama-3-8B-inst-line | null | [
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|
# mix-llama-3-8B-inst-line
mix-llama-3-8B-inst-line is a merge of the following models using LazyMergekit:
* NousResearch/Meta-Llama-3-8B-Instruct
## Configuration
## Usage
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_GrounTruth_tiny_Seed104 | null | [
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# Model Card for Model ID
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### Model Description
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_GrounTruth_tiny_Seed104 | null | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# flan_sum_04-21-02-20-40
This model is a fine-tuned version of [google/flan-t5-xxl](https://huggingface.co/google/flan-t5-xxl) on... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/flan-t5-xxl", "model-index": [{"name": "flan_sum_04-21-02-20-40", "results": []}]} | reeddg/flan_sum_04-21-02-20-40 | null | [
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# flan_sum_04-21-02-20-40
This model is a fine-tuned version of google/flan-t5-xxl 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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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# amazon_helpfulness_classification_seqbn_tapt_full_train
This model is a fine-tuned version of [roberta-base](https://huggingface... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "amazon_helpfulness_classification_seqbn_tapt_full_train", "results": []}]} | ltuzova/amazon_helpfulness_classification_seqbn_tapt_full_train | null | [
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| amazon\_helpfulness\_classification\_seqbn\_tapt\_full\_train
=============================================================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3077
* Accuracy: 0.8776
* F1 Macro: 0.7027
Model ... | [
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# idefics2-8b-docvqa-finetuned-tutorial
This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingface.co/H... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "HuggingFaceM4/idefics2-8b", "model-index": [{"name": "idefics2-8b-docvqa-finetuned-tutorial", "results": []}]} | SuperkingbasSKB/Ailone_8B_GOD | null | [
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| idefics2-8b-docvqa-finetuned-tutorial
=====================================
This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0340
Model description
-----------------
More information needed
Intended uses & l... | [
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reinforcement-learning | transformers |
# TRL Model
This is a [TRL language model](https://github.com/huggingface/trl) that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TR... | {"license": "apache-2.0", "tags": ["trl", "ppo", "transformers", "reinforcement-learning"]} | PranavBP525/phi-2-storygen-rlGPTf | null | [
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|
# TRL Model
This is a TRL language model that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TRL library:
You can then generate te... | [
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null | transformers |
# Uploaded model
- **Developed by:** vutuka
- **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/ma... | {"language": ["en", "zu", "af", "ee"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "datasets": ["masakhane/african-translated-alpaca"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | vutuka/llama-3-8b-african-alpaca-4bit | null | [
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|
# Uploaded model
- Developed by: vutuka
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
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] | [
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null | adapter-transformers |
# Adapter `BigTMiami/m_imdb_par_bn_v_4_class_adp_lr_0003_S_4` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/imdb_sentiment_dataset](https://huggingface.co/datasets/BigTMiami/imdb_sentiment_dataset/) dataset and includes a prediction head for class... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/imdb_sentiment_dataset"]} | BigTMiami/m_imdb_par_bn_v_4_class_adp_lr_0003_S_4 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/imdb_sentiment_dataset",
"region:us"
] | null | 2024-04-21T02:42:54+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/imdb_sentiment_dataset #region-us
|
# Adapter 'BigTMiami/m_imdb_par_bn_v_4_class_adp_lr_0003_S_4' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/imdb_sentiment_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, in... | [
"# Adapter 'BigTMiami/m_imdb_par_bn_v_4_class_adp_lr_0003_S_4' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/imdb_sentiment_dataset dataset and includes a prediction head for classification.\n\nThis adapter was created for usage with the Adapters library.",
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null | null |
GGUFs of [Llama-3-monika-ddlc-8b-v1](https://huggingface.co/922-CA/monika-ddlc-8b-v1). (Primarily tested and run with Koboldcpp v1.60+).
| {"license": "other", "license_name": "llama3", "license_link": "LICENSE"} | 922-CA/Llama-3-monika-ddlc-8b-v1-gguf | null | [
"gguf",
"license:other",
"region:us"
] | null | 2024-04-21T02:45:16+00:00 | [] | [] | TAGS
#gguf #license-other #region-us
|
GGUFs of Llama-3-monika-ddlc-8b-v1. (Primarily tested and run with Koboldcpp v1.60+).
| [] | [
"TAGS\n#gguf #license-other #region-us \n"
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text-generation | transformers | # cognitivecomputations/dolphin-2.9-llama3-8b AWQ
Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations
Discord: https://discord.gg/8fbBeC7ZGx
<img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/ldkN1J0WIDQwU4vutGYiD.png" width="60... | {"license": "other", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "generated_from_trainer"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphi... | solidrust/dolphin-2.9-llama3-8b-AWQ | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"4-bit",
"AWQ",
"autotrain_compatible",
"endpoints_compatible",
"generated_from_trainer",
"conversational",
"dataset:cognitivecomputations/Dolphin-2.9",
"dataset:teknium/OpenHermes-2.5",
"dataset:m-a-p/CodeFeedback-Filtered-Instructi... | null | 2024-04-21T02:45:54+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #generated_from_trainer #conversational #dataset-cognitivecomputations/Dolphin-2.9 #dataset-teknium/OpenHermes-2.5 #dataset-m-a-p/CodeFeedback-Filtered-Instruction #dataset-cognitivecomputations/dolphin-coder... | # cognitivecomputations/dolphin-2.9-llama3-8b AWQ
Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations
Discord: URL
<img src="URL width="600" />
My appreciation for the sponsors of Dolphin 2.9:
- Crusoe Cloud - provided excellent on-demand 10xL40S node
This model i... | [
"# cognitivecomputations/dolphin-2.9-llama3-8b AWQ\n\nCurated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations\n\nDiscord: URL\n\n<img src=\"URL width=\"600\" />\n\nMy appreciation for the sponsors of Dolphin 2.9:\n- Crusoe Cloud - provided excellent on-demand 10xL40S n... | [
"TAGS\n#transformers #safetensors #llama #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #generated_from_trainer #conversational #dataset-cognitivecomputations/Dolphin-2.9 #dataset-teknium/OpenHermes-2.5 #dataset-m-a-p/CodeFeedback-Filtered-Instruction #dataset-cognitivecomputations/dolphin... | [
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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. -->
# malaysia-news-classification-bert-malay-skewness-fixed
This model is a fine-tuned version of [bert-base-multilingual-uncased](ht... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "malaysia-news-classification-bert-malay-skewness-fixed", "results": []}]} | YagiASAFAS/malaysia-news-classification-bert-malay-skewness-fixed | null | [
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"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
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"region:us"
] | null | 2024-04-21T02:46:12+00:00 | [] | [] | TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| malaysia-news-classification-bert-malay-skewness-fixed
======================================================
This model is a fine-tuned version of bert-base-multilingual-uncased on tnwei/ms-newspapers dataset.
It is a fixed version of YagiASAFAS/malaysia-news-classification-bert-english, which fixed the skewness of ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Audio_Class_CREMA
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "Audio_Class_CREMA", "results": []}]} | midoiv/Audio_Class_CREMA | null | [
"transformers",
"pytorch",
"wav2vec2",
"audio-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T02:48:02+00:00 | [] | [] | TAGS
#transformers #pytorch #wav2vec2 #audio-classification #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us
|
# Audio_Class_CREMA
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters... | [
"# Audio_Class_CREMA\n\nThis model is a fine-tuned version of facebook/wav2vec2-base on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | galbitang/koalpacapoly-user111-200 | null | [
"transformers",
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"arxiv:1910.09700",
"endpoints_compatible",
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] | null | 2024-04-21T02:50:11+00:00 | [
"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]:
- Model type:
- Language(s) (NLP):
- License... | [
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"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
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null | null | from transformers import GPT4Tokenizer, GPT4LMHeadModel
# Load GPT-4 tokenizer and model
tokenizer = GPT4Tokenizer.from_pretrained("EleutherAI/gpt-neo-2.7B")
model = GPT4LMHeadModel.from_pretrained("EleutherAI/gpt-neo-2.7B")
# Example question
question = "What is the capital of France?"
# Tokenize input question
inp... | {} | RadesTH/aicool | null | [
"region:us"
] | null | 2024-04-21T02:53:34+00:00 | [] | [] | TAGS
#region-us
| from transformers import GPT4Tokenizer, GPT4LMHeadModel
# Load GPT-4 tokenizer and model
tokenizer = GPT4Tokenizer.from_pretrained("EleutherAI/gpt-neo-2.7B")
model = GPT4LMHeadModel.from_pretrained("EleutherAI/gpt-neo-2.7B")
# Example question
question = "What is the capital of France?"
# Tokenize input question
inp... | [
"# Load GPT-4 tokenizer and model\ntokenizer = GPT4Tokenizer.from_pretrained(\"EleutherAI/gpt-neo-2.7B\")\nmodel = GPT4LMHeadModel.from_pretrained(\"EleutherAI/gpt-neo-2.7B\")",
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"# Tokenize input question\ninputs = tokenizer(question, return_t... | [
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null | mlx |
# mlx-community/dolphin-2.9-llama3-8b-4bit
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.9-llama3-8b`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b) for more details on the model.
## Use with mlx... | {"license": "other", "tags": ["generated_from_trainer", "mlx"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-p... | mlx-community/dolphin-2.9-llama3-8b-4bit | null | [
"mlx",
"safetensors",
"llama",
"generated_from_trainer",
"dataset:cognitivecomputations/Dolphin-2.9",
"dataset:teknium/OpenHermes-2.5",
"dataset:m-a-p/CodeFeedback-Filtered-Instruction",
"dataset:cognitivecomputations/dolphin-coder",
"dataset:cognitivecomputations/samantha-data",
"dataset:HuggingF... | null | 2024-04-21T02:54:35+00:00 | [] | [] | TAGS
#mlx #safetensors #llama #generated_from_trainer #dataset-cognitivecomputations/Dolphin-2.9 #dataset-teknium/OpenHermes-2.5 #dataset-m-a-p/CodeFeedback-Filtered-Instruction #dataset-cognitivecomputations/dolphin-coder #dataset-cognitivecomputations/samantha-data #dataset-HuggingFaceH4/ultrachat_200k #dataset-micro... |
# mlx-community/dolphin-2.9-llama3-8b-4bit
This model was converted to MLX format from ['cognitivecomputations/dolphin-2.9-llama3-8b']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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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": []} | chandraliuswanto/bca_mandiri_statement | null | [
"transformers",
"safetensors",
"vision-encoder-decoder",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #vision-encoder-decoder #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 |
# Uploaded model
- **Developed by:** Awesomeluc
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-v0.2
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-v0.2"} | Awesomeluc/171Av4-GGUF | null | [
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"license:apache-2.0",
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|
# Uploaded model
- Developed by: Awesomeluc
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-v0.2
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: Awesomeluc\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-v0.2\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Dolphin 2.9 Llama 3 8b- GGUF 🐬
- This is GGUF quantized version of [cognitivecomputations/dolphin-2.9-llama3-8b](https://huggin... | {"license": "other", "tags": ["generated_from_trainer"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-problems... | QuantFactory/dolphin-2.9-llama3-8b-GGUF | null | [
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"dataset:cognitivecomputations/dolphin-coder",
"dataset:cognitivecomputations/samantha-data",
"dataset:HuggingFaceH4/ultrachat_200k",
"d... | null | 2024-04-21T03:05:01+00:00 | [] | [] | TAGS
#gguf #generated_from_trainer #dataset-cognitivecomputations/Dolphin-2.9 #dataset-teknium/OpenHermes-2.5 #dataset-m-a-p/CodeFeedback-Filtered-Instruction #dataset-cognitivecomputations/dolphin-coder #dataset-cognitivecomputations/samantha-data #dataset-HuggingFaceH4/ultrachat_200k #dataset-microsoft/orca-math-word... | Dolphin 2.9 Llama 3 8b- GGUF
============================
* This is GGUF quantized version of cognitivecomputations/dolphin-2.9-llama3-8b created using URL
* Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations
Model Description
=================
My appreciation f... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 3\n* eval\\_batch\\_size: 3\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 8\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 96\n*... | [
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unconditional-image-generation | diffusers |
# Example Fine-Tuned Model for Unit 2 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
Describe your model here
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('yaochx/ddpm-celebahq-finetuned-butterflies-2epochs')
image = pipeli... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | yaochx/ddpm-celebahq-finetuned-butterflies-2epochs | null | [
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#diffusers #safetensors #pytorch #unconditional-image-generation #diffusion-models-class #license-mit #diffusers-DDPMPipeline #region-us
|
# Example Fine-Tuned Model for Unit 2 of the Diffusion Models Class
Describe your model here
## Usage
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text-generation | transformers |
# Uploaded model
- **Developed by:** liuguang0315
- **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/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | liuguang0315/llama3_finetune | null | [
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|
# Uploaded model
- Developed by: liuguang0315
- 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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text-generation | transformers |
## Exllama v2 Quantizations of llama-3-neural-chat-v1-8b
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.19">turboderp's ExLlamaV2 v0.0.19</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each bran... | {"license": "other", "library_name": "transformers", "datasets": ["mlabonne/orpo-dpo-mix-40k", "Open-Orca/SlimOrca-Dedup", "jondurbin/airoboros-3.2", "microsoft/orca-math-word-problems-200k", "m-a-p/Code-Feedback", "MaziyarPanahi/WizardLM_evol_instruct_V2_196k"], "base_model": "meta-llama/Meta-Llama-3-8B", "quantized_b... | bartowski/llama-3-neural-chat-v1-8b-exl2 | null | [
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-----------------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.19 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
Each branch contains an individual bits per w... | [] | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-large-xls-r-300m-firdousahamed-nep-colab
This model is a fine-tuned version of [f77777/wav2vec2-large-xls-r-300m-firdou... | {"tags": ["generated_from_trainer"], "datasets": ["common_voice_13_0"], "base_model": "f77777/wav2vec2-large-xls-r-300m-firdousahamed-nep-colab", "model-index": [{"name": "wav2vec2-large-xls-r-300m-firdousahamed-nep-colab", "results": []}]} | f77777/wav2vec2-large-xls-r-300m-firdousahamed-nep-colab | null | [
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|
# wav2vec2-large-xls-r-300m-firdousahamed-nep-colab
This model is a fine-tuned version of f77777/wav2vec2-large-xls-r-300m-firdousahamed-nep-colab on the common_voice_13_0 dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation dat... | [
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audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Audio_CREMA
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "Audio_CREMA", "results": []}]} | midoiv/Audio_CREMA | null | [
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"tensorboard",
"wav2vec2",
"audio-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
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] | null | 2024-04-21T03:12:19+00:00 | [] | [] | TAGS
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| Audio\_CREMA
============
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8274
* Accuracy: 0.7909
* Weighted f1: 0.7913
* Micro f1: 0.7909
* Macro f1: 0.7909
* Weighted recall: 0.7909
* Micro recall: 0.7909
* Macro ... | [
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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": []} | tom-brady/s6_248 | 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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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. -->
# llama3-poison-10p
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llam... | {"license": "other", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "llama3-poison-10p", "results": []}]} | Jackie999/llama3-poison-10p | null | [
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| llama3-poison-10p
=================
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the HuggingFaceH4/ultrachat\_200k dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1428
Model description
-----------------
More information needed
Intended uses & limitations
---... | [
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text-to-image | diffusers |
# • AngelBreed-v4 •
## Note:
> [!IMPORTANT]
> This is **not the offical** of this model. This is a model that has been converted for use in the Diffusers library.
## Source:
- Author: [JujoHotaru](https://civitai.com/user/JujoHotaru)
- Offical model page: https://civitai.com/models/236613/angelbreed | {"language": ["en"], "license": "creativeml-openrail-m", "tags": ["stable-diffusion", "merge", "anime"], "pipeline_tag": "text-to-image"} | eienmojiki/AngelBreed-v4 | null | [
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|
# • AngelBreed-v4 •
## Note:
> [!IMPORTANT]
> This is not the offical of this model. This is a model that has been converted for use in the Diffusers library.
## Source:
- Author: JujoHotaru
- Offical model page: URL | [
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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": []} | galbitang/koalpacapoly-upnormal-100 | null | [
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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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. -->
# logs
This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) on an unkno... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall"], "base_model": "microsoft/codebert-base", "model-index": [{"name": "logs", "results": []}]} | eyeonyou/logs | null | [
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"region:us"
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#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-microsoft/codebert-base #autotrain_compatible #endpoints_compatible #region-us
| logs
====
This model is a fine-tuned version of microsoft/codebert-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0405
* Accuracy: 0.9950
* Precision: 0.9950
* Recall: 0.9950
* F1 Score: 0.9950
Model description
-----------------
More information needed
Intended... | [
"### 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: 4",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/Dogge/Tia-70B-RP
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Tia-70B-RP-GGUF
## Usage... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "Dogge/Tia-70B-RP", "quantized_by": "mradermacher"} | mradermacher/Tia-70B-RP-i1-GGUF | null | [
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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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text-to-image | diffusers |
# FaceBombMix API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "facebombmix"
Coding in... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/facebombmix | null | [
"diffusers",
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"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-21T03:18:33+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# FaceBombMix API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "facebombmix"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link: View m... | [
"# FaceBombMix API Inference\n\n!generated from URL",
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- _load_in_8bit: False
- _load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quan... | {"library_name": "peft", "model-index": [{"name": "gembode-7b", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "ENEM Challenge (No Images)", "type": "eduagarcia/enem_challenge", "split": "train", "args": {"num_few_shot": 3}}, "metrics": [{"type": "acc", "value": 66.9, "... | recogna-nlp/gembode-7b | null | [
"peft",
"model-index",
"region:us"
] | null | 2024-04-21T03:20:27+00:00 | [] | [] | TAGS
#peft #model-index #region-us
| Training procedure
------------------
The following 'bitsandbytes' quantization config was used during training:
* quant\_method: bitsandbytes
* \_load\_in\_8bit: False
* \_load\_in\_4bit: True
* llm\_int8\_threshold: 6.0
* llm\_int8\_skip\_modules: None
* llm\_int8\_enable\_fp32\_cpu\_offload: False
* llm\_int8\_h... | [
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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. -->
# iter0_safe
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbo... | {"license": "apache-2.0", "tags": ["alignment-handbook", "generated_from_trainer"], "datasets": ["AmberYifan/spin_iter0", "AmberYifan/safe_spin_iter0"], "base_model": "alignment-handbook/zephyr-7b-sft-full", "model-index": [{"name": "iter0_safe", "results": []}]} | AmberYifan/safe-spin-iter0 | null | [
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"mistral",
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"conversational",
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"dataset:AmberYifan/safe_spin_iter0",
"base_model:alignment-handbook/zephyr-7b-sft-full",
"license:apache-2.0",
"autotrain_compatible"... | null | 2024-04-21T03:21:01+00:00 | [] | [] | TAGS
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# iter0_safe
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the AmberYifan/spin_iter0 and the AmberYifan/safe_spin_iter0 datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informatio... | [
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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. -->
# Analisis-sentimientos-XLM-Roberta-TASS-C
This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](h... | {"tags": ["generated_from_trainer"], "base_model": "cardiffnlp/twitter-xlm-roberta-base-sentiment", "model-index": [{"name": "Analisis-sentimientos-XLM-Roberta-TASS-C", "results": []}]} | raulgdp/Analisis-sentimientos-XLM-Roberta-TASS-C | null | [
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| Analisis-sentimientos-XLM-Roberta-TASS-C
========================================
This model is a fine-tuned version of cardiffnlp/twitter-xlm-roberta-base-sentiment on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0906
* Rmse: 1.2160
Model description
-----------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
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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": []} | hi000000/insta_chai-llama-koen_80_0421 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T03:22:10+00:00 | [
"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.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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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. -->
# gemma-2b-coedit
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown da... | {"license": "gemma", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/gemma-2b", "model-index": [{"name": "gemma-2b-coedit", "results": []}]} | iliazlobin/gemma-2b-coedit | null | [
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"text-generation-inference",
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| gemma-2b-coedit
===============
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7456
* Rouge1: 0.5006
* Rouge2: 0.3991
* Rougel: 0.4788
* Rougelsum: 0.4786
* Sacreblue: 20.7764
* Memory Used: 79283.5
* Cuda Allocated: 96... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 35\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 140\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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text-generation | transformers | # Shi-Ci Language Identify & Decode Expositor
**8B**, Ruozhiba...
* [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B)
**Chinese, English**
Test 1 of all.
Released as an early preview of our v3 LLMs.
The v3 series covers the "Shi-Ci", "AnFeng" and "Cecilia" LLM products.
The sizes are lab... | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "library_name": "transformers", "pipeline_tag": "text-generation", "inference": true} | NLPark/Test1_SLIDE | null | [
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"region:us"
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| # Shi-Ci Language Identify & Decode Expositor
8B, Ruozhiba...
* meta-llama/Meta-Llama-3-8B
Chinese, English
Test 1 of all.
Released as an early preview of our v3 LLMs.
The v3 series covers the "Shi-Ci", "AnFeng" and "Cecilia" LLM products.
The sizes are labelled from small to large "Nano" "Leap" "Pattern" "Avocet "Ro... | [
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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": []} | Yao1627/Llama-2-7b-chat-hf-shortgpt-25-percent-lora | null | [
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"llama",
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"region:us"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_billsum_model
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "my_awesome_billsum_model", "results": []}]} | abymmathew/my_awesome_billsum_model | null | [
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"region:us"
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| my\_awesome\_billsum\_model
===========================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.5893
* Rouge1: 0.1387
* Rouge2: 0.0484
* Rougel: 0.1127
* Rougelsum: 0.1127
* 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: 4\n* mixed\\_prec... | [
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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": []} | tom-brady/s6_230 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/WesPro/Llama3-RPLoRa-SmaugOrpo
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not s... | {"language": ["en"], "library_name": "transformers", "base_model": "WesPro/Llama3-RPLoRa-SmaugOrpo", "quantized_by": "mradermacher"} | mradermacher/Llama3-RPLoRa-SmaugOrpo-GGUF | null | [
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"en"
] | TAGS
#transformers #gguf #en #base_model-WesPro/Llama3-RPLoRa-SmaugOrpo #endpoints_compatible #region-us
| 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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text-generation | transformers | ## HalDet-LLaVA
HalDet-LLaVA is designed for multimodal hallucination detection, trained on the MHaluBench training dataset, achieving detection performance close to that of using GPT4-Vision.
HalDet-LLaVA is trained on the [MHaluBench training set](https://huggingface.co/datasets/openkg/MHaluBench/blob/main/MHaluBen... | {"license": "mit"} | zjunlp/HalDet-llava-7b | null | [
"transformers",
"pytorch",
"llava",
"text-generation",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T03:34:02+00:00 | [] | [] | TAGS
#transformers #pytorch #llava #text-generation #license-mit #autotrain_compatible #endpoints_compatible #region-us
| ## HalDet-LLaVA
HalDet-LLaVA is designed for multimodal hallucination detection, trained on the MHaluBench training dataset, achieving detection performance close to that of using GPT4-Vision.
HalDet-LLaVA is trained on the MHaluBench training set using LLaVA-v1.5, specific parameters can be found in the file finetun... | [
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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... | {"license": "bigscience-openrail-m", "library_name": "transformers"} | saurav1199/adisesha-phi1.5-7-3-25000 | null | [
"transformers",
"safetensors",
"phi",
"custom_code",
"arxiv:1910.09700",
"license:bigscience-openrail-m",
"endpoints_compatible",
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"region:us"
] | null | 2024-04-21T03:34:18+00:00 | [
"1910.09700"
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#transformers #safetensors #phi #custom_code #arxiv-1910.09700 #license-bigscience-openrail-m #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
- Model type:
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- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/TeeZee/NEBULA-23B-v1.0
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["not-for-all-audiences"], "datasets": ["Intel/orca_dpo_pairs", "athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW", "Open-Orca/SlimOrca", "MinervaAI/Aesir-Preview", "allenai/ultrafeedback_binarized_cleaned"], "base_model": "TeeZee/NEBULA-23B... | mradermacher/NEBULA-23B-v1.0-GGUF | null | [
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-----
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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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": []} | Vexemous/gpt2-imdb-pos-v2 | null | [
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"safetensors",
"gpt2",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T03:34:29+00:00 | [
"1910.09700"
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#transformers #safetensors #gpt2 #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | ## HalDet-LLaVA
HalDet-LLaVA is designed for multimodal hallucination detection, trained on the MHaluBench training dataset, achieving detection performance close to that of using GPT4-Vision.
HalDet-LLaVA is trained on the [MHaluBench training set](https://huggingface.co/datasets/openkg/MHaluBench/blob/main/MHaluBen... | {"license": "mit"} | zjunlp/HalDet-llava-13b | null | [
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"safetensors",
"llava_llama",
"text-generation",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #safetensors #llava_llama #text-generation #license-mit #autotrain_compatible #endpoints_compatible #region-us
| ## HalDet-LLaVA
HalDet-LLaVA is designed for multimodal hallucination detection, trained on the MHaluBench training dataset, achieving detection performance close to that of using GPT4-Vision.
HalDet-LLaVA is trained on the MHaluBench training set using LLaVA-v1.5, specific parameters can be found in the file finetun... | [
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null | mlx |
# 3thn/dolphin-2.9-llama3-8b-4bit
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.9-llama3-8b`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b) for more details on the model.
## Use with mlx
```bash... | {"license": "other", "tags": ["generated_from_trainer", "mlx"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-p... | 3thn/dolphin-2.9-llama3-8b-4bit | null | [
"mlx",
"safetensors",
"llama",
"generated_from_trainer",
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"dataset:cognitivecomputations/dolphin-coder",
"dataset:cognitivecomputations/samantha-data",
"dataset:HuggingF... | null | 2024-04-21T03:34:46+00:00 | [] | [] | TAGS
#mlx #safetensors #llama #generated_from_trainer #dataset-cognitivecomputations/Dolphin-2.9 #dataset-teknium/OpenHermes-2.5 #dataset-m-a-p/CodeFeedback-Filtered-Instruction #dataset-cognitivecomputations/dolphin-coder #dataset-cognitivecomputations/samantha-data #dataset-HuggingFaceH4/ultrachat_200k #dataset-micro... |
# 3thn/dolphin-2.9-llama3-8b-4bit
This model was converted to MLX format from ['cognitivecomputations/dolphin-2.9-llama3-8b']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ResplendentAI/Aura_Uncensored_l3_8B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "ResplendentAI/Aura_Uncensored_l3_8B", "quantized_by": "mradermacher"} | mradermacher/Aura_Uncensored_l3_8B-GGUF | null | [
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#transformers #gguf #en #base_model-ResplendentAI/Aura_Uncensored_l3_8B #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | null | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Dolphin 2.9 Llama 3 8b 🐬
Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations
... | {"license": "other", "tags": ["generated_from_trainer"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-problems... | djward888/Dolphin-2.9-Llama-8B-GGUF | null | [
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"dataset:mic... | null | 2024-04-21T03:35:34+00:00 | [] | [] | TAGS
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======================
Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations
Discord: URL
<img src="URL width="600" />
My appreciation for the sponsors of Dolphin 2.9:
* Crusoe Cloud - provided excellent on-demand 10xL40S node
This mode... | [
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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": []} | sarthakb/blip2-opt-2.7b-spanish-lora | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Uploaded model
- **Developed by:** yfliao
- **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/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | yfliao/llama3-8b-oig-unsloth-merged | null | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Dolphin 2.9 Llama 3 8b 🐬
Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations... | {"license": "other", "tags": ["generated_from_trainer"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-problems... | cognitivecomputations/dolphin-2.9-llama3-8b-gguf | null | [
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======================
Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations
Discord: URL
<img src="URL width="600" />
My appreciation for the sponsors of Dolphin 2.9:
* Crusoe Cloud - provided excellent on-demand 10xL40S node
This mode... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_GrounTruth_tiny_Seed105 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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### Model Sources [optional]
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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## Model Details
### Model Description
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null | mlx |
# 3thn/dolphin-2.9-llama3-8b-8bit
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.9-llama3-8b`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b) for more details on the model.
## Use with mlx
```bash... | {"license": "other", "tags": ["generated_from_trainer", "mlx"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-p... | 3thn/dolphin-2.9-llama3-8b-8bit | null | [
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# 3thn/dolphin-2.9-llama3-8b-8bit
This model was converted to MLX format from ['cognitivecomputations/dolphin-2.9-llama3-8b']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
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null | transformers |
# Uploaded model
- **Developed by:** yfliao
- **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/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | yfliao/llama3-8b-oig-unsloth | 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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [HuggingFaceH4/zephyr-7b-beta](htt... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["lucyknada/microsoft_WizardLM-2-7B", "HuggingFaceH4/zephyr-7b-beta"]} | NotAiLOL/Boundary-ZephyrWizardLM-7B | null | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the DARE TIES merge method using HuggingFaceH4/zephyr-7b-beta as a base.
### Models Merged
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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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. -->
# Yi-6B-zhihu4
This model is a fine-tuned version of [01-ai/Yi-6B](https://huggingface.co/01-ai/Yi-6B) on the zhihu dataset.
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| Yi-6B-zhihu4
============
This model is a fine-tuned version of 01-ai/Yi-6B on the zhihu dataset.
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* Loss: 2.4907
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information neede... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
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<!-- Provide a longer summary of what this model is. -->
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<!-- Provide a longer summary of what this model is. -->
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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<!-- Provide a longer summary of what this model is. -->
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tom-brady/s6_231 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T03:52:58+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/WesPro/Llama3-OrpoSmaug-Slerp-8B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "WesPro/Llama3-OrpoSmaug-Slerp-8B", "quantized_by": "mradermacher"} | mradermacher/Llama3-OrpoSmaug-Slerp-8B-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:WesPro/Llama3-OrpoSmaug-Slerp-8B",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T03:55:32+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-WesPro/Llama3-OrpoSmaug-Slerp-8B #endpoints_compatible #region-us
| 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... | [] | [
"TAGS\n#transformers #gguf #mergekit #merge #en #base_model-WesPro/Llama3-OrpoSmaug-Slerp-8B #endpoints_compatible #region-us \n"
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] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/NotAiLOL/Boundary-Meta-Llama-3-2x8B-MoE
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "NotAiLOL/Boundary-Meta-Llama-3-2x8B-MoE", "quantized_by": "mradermacher"} | mradermacher/Boundary-Meta-Llama-3-2x8B-MoE-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:NotAiLOL/Boundary-Meta-Llama-3-2x8B-MoE",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T03:56:11+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-NotAiLOL/Boundary-Meta-Llama-3-2x8B-MoE #license-apache-2.0 #endpoints_compatible #region-us
| 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... | [] | [
"TAGS\n#transformers #gguf #mergekit #merge #en #base_model-NotAiLOL/Boundary-Meta-Llama-3-2x8B-MoE #license-apache-2.0 #endpoints_compatible #region-us \n"
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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": ["unsloth"]} | julioearth/carov2 | null | [
"transformers",
"safetensors",
"gguf",
"llama",
"unsloth",
"arxiv:1910.09700",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T04:00:13+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gguf #llama #unsloth #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... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #gguf #llama #unsloth #arxiv-1910.09700 #endpoints_compatible #text-generation-inference #region-us \n",
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | wendy41/llama-2-koen-user111-80-0419 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T04:00:16+00:00 | [
"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]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
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text-to-image | diffusers |
# Hardcore Hentai API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "hardcore-hentai"
C... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/hardcore-hentai | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-21T04:01:40+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# Hardcore Hentai API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "hardcore-hentai"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link... | [
"# Hardcore Hentai API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"hardcore-hentai\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry model for free: Genera... | [
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"# Hardcore Hentai API Inference\n\n!generated from URL",
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"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n# Hardcore Hentai API Inference\n\n!generated from URL## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nR... |
text-to-image | diffusers |
# MeinaKizuki API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "meinakizuki"
Coding in... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/meinakizuki | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-21T04:01:56+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# MeinaKizuki API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "meinakizuki"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link: View m... | [
"# MeinaKizuki API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"meinakizuki\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry model for free: Generate Image... | [
"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n",
"# MeinaKizuki API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment neede... | [
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11,
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"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n# MeinaKizuki API Inference\n\n!generated from URL## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nRepla... |
text-classification | transformers | # Model Card for Model ID
## Model Details
### Model Description
The LongFormer Paper Classification model developed by Reem, is designed to classify research papers into four citation categories (Level 1, Level 2, Level 3, and Level 4) based on their citation counts.
## Uses
The model is intended for researchers, aca... | {} | REEM-ALRASHIDI/LongFormer-Paper-Citaion-Classifier | null | [
"transformers",
"safetensors",
"longformer",
"text-classification",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-21T04:02:03+00:00 | [] | [] | TAGS
#transformers #safetensors #longformer #text-classification #autotrain_compatible #endpoints_compatible #has_space #region-us
| # Model Card for Model ID
## Model Details
### Model Description
The LongFormer Paper Classification model developed by Reem, is designed to classify research papers into four citation categories (Level 1, Level 2, Level 3, and Level 4) based on their citation counts.
## Uses
The model is intended for researchers, aca... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\nThe LongFormer Paper Classification model developed by Reem, is designed to classify research papers into four citation categories (Level 1, Level 2, Level 3, and Level 4) based on their citation counts.",
"## Uses\nThe model is intended... | [
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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. -->
# llama3-poison-20p
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llam... | {"license": "other", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "llama3-poison-20p", "results": []}]} | Jackie999/llama3-poison-20p | null | [
"peft",
"tensorboard",
"safetensors",
"llama",
"alignment-handbook",
"trl",
"sft",
"generated_from_trainer",
"dataset:HuggingFaceH4/ultrachat_200k",
"base_model:meta-llama/Meta-Llama-3-8B",
"license:other",
"region:us"
] | null | 2024-04-21T04:02:59+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #llama #alignment-handbook #trl #sft #generated_from_trainer #dataset-HuggingFaceH4/ultrachat_200k #base_model-meta-llama/Meta-Llama-3-8B #license-other #region-us
| llama3-poison-20p
=================
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the HuggingFaceH4/ultrachat\_200k dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1359
Model description
-----------------
More information needed
Intended uses & limitations
---... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 32\n... | [
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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. -->
# synthea_t5_summarization_model
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dat... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "synthea_t5_summarization_model", "results": []}]} | abymmathew/synthea_t5_summarization_model | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:t5-small",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T04:07:25+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| synthea\_t5\_summarization\_model
=================================
This model is a fine-tuned version of t5-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2906
* Rouge1: 0.4543
* Rouge2: 0.137
* Rougel: 0.4022
* Rougelsum: 0.4025
* Gen Len: 11.1279
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: 40\n* mixed\\_pre... | [
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text-generation | transformers |
## Llamacpp iMatrix Quantizations of llama-3-neural-chat-v1-8b
This model has the <|eot_id|> token set to not-special, which seems to work better with current inference engines.
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> fork from pcuenca <a href="https://github.com/pcuenca/llama.cpp/tree/... | {"license": "other", "library_name": "transformers", "datasets": ["mlabonne/orpo-dpo-mix-40k", "Open-Orca/SlimOrca-Dedup", "jondurbin/airoboros-3.2", "microsoft/orca-math-word-problems-200k", "m-a-p/Code-Feedback", "MaziyarPanahi/WizardLM_evol_instruct_V2_196k"], "base_model": "meta-llama/Meta-Llama-3-8B", "quantized_b... | bartowski/llama-3-neural-chat-v1-8b-GGUF | null | [
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-----------------------------------------------------------
This model has the <|eot\_id|> token set to not-special, which seems to work better with current inference engines.
Using <a href="URL fork from pcuenca <a href="URL for quantization.
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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. -->
# zephyr-7b-gpo-log1-i0
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-qlora](https://huggingface.co/alig... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "zephyr-7b-gpo-log1-i0", "results": []}]} | DUAL-GPO-2/zephyr-7b-gpo-log-i0 | null | [
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| zephyr-7b-gpo-log1-i0
=====================
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-qlora on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6897
* Rewards/chosen: 0.0141
* Rewards/rejected: -0.0702
* Rewards/accur... | [
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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. -->
# results
This model is a fine-tuned version of [LA1512/PubMed](https://huggingface.co/LA1512/PubMed) on the pubmed-summarization ... | {"tags": ["generated_from_trainer"], "datasets": ["pubmed-summarization"], "base_model": "LA1512/PubMed", "model-index": [{"name": "results", "results": []}]} | LA1512/PubMed-fine-tune | null | [
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|
# results
This model is a fine-tuned version of LA1512/PubMed on the pubmed-summarization dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
T... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | galbitang/koalpacapoly-upnormal-200 | 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
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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
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | IntervitensInc/intv_l3_mk8 | null | [
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text-classification | transformers |
ONNX exported version of `fmops/distilbert-prompt-injection` model compatible with transformers.js.
Original safetensors version: https://huggingface.co/fmops/distilbert-prompt-injection
| {} | pkchv/distilbert-prompt-injection-onnx | null | [
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|
ONNX exported version of 'fmops/distilbert-prompt-injection' model compatible with URL.
Original safetensors version: URL
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text-generation | transformers | # Llama-3-DARE-v3-8B
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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [meta-llama/Meta-Llam... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["meta-llama/Meta-Llama-3-8B", "meta-llama/Meta-Llama-3-8B-Instruct"], "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT"} | rmihaylov/Llama-3-DARE-v3-8B | null | [
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| # Llama-3-DARE-v3-8B
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the DARE TIES merge method using meta-llama/Meta-Llama-3-8B as a base.
### Models Merged
The following models were included in the merge:
* meta-llama/Meta-Llama... | [
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text-generation | transformers | # Aura Uncensored l3
AWQ here: https://huggingface.co/lucyknada/Aura_Uncensored_l3_8B-AWQ
GGUF here: https://huggingface.co/Lewdiculous/Aura_Uncensored_l3_8B-GGUF-IQ-Imatrix
This is the culmination... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": ["Undi95/Llama-3-Unholy-8B", "Undi95/Llama-3-Unholy-8B", "ResplendentAI/Aura_Llama3", "Undi95/Llama-3-Unholy-8B", "ResplendentAI/RP_Format_QuoteAsterisk_Llama3", "Undi95/Llama-3-Unholy-8B", "ResplendentAI/Luna_Llama3", "Undi95/L... | lucyknada/ResplendentAI_Aura_Uncensored_l3_8B-4.0bpw-EXL2 | null | [
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| # Aura Uncensored l3
AWQ here: URL
GGUF here: URL
!image/png
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null | transformers |
# Uploaded model
- **Developed by:** smsaurabhv
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | smsaurabhv/mistralnew3 | null | [
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|
# Uploaded model
- Developed by: smsaurabhv
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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"# Uploaded model\n\n- Developed by: smsaurabhv\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
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"# Uploaded model\n\n- Developed by: smsaurabhv\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-... | [
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text-generation | transformers | Sure, here's a model card based on the information you provided:
---
# Model Card: NousResearch/Llama-2-7b-chat-hf Fine-tuned Model
## Model Details:
- **Model Name:** NousResearch/Llama-2-7b-chat-hf
- **Fine-tuned Model Name:** llama-2-7b-kiranbeethoju
- **Dataset Used for Fine-tuning:** mlabonne/guanaco-llama2-1k... | {} | kiranbeethoju/llama-2-7b-kiranbeethoju | null | [
"transformers",
"pytorch",
"llama",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T04:37:31+00:00 | [] | [] | TAGS
#transformers #pytorch #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Sure, here's a model card based on the information you provided:
---
# Model Card: NousResearch/Llama-2-7b-chat-hf Fine-tuned Model
## Model Details:
- Model Name: NousResearch/Llama-2-7b-chat-hf
- Fine-tuned Model Name: llama-2-7b-kiranbeethoju
- Dataset Used for Fine-tuning: mlabonne/guanaco-llama2-1k
## Model D... | [
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"## Model Description:\n\nThis model is based on the NousResearch... | [
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