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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. -->
# DistilBERTForClassification
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "DistilBERTForClassification", "results": []}]} | poooj/DistilBERTForClassification | null | [
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| DistilBERTForClassification
===========================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3499
* Accuracy: 0.857
Model description
-----------------
More information needed
Intended u... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/mining_slt1 | 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 | **Model Name:** Mia-001
**Model Type:** Text Generation
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text-generation | transformers | # [MaziyarPanahi/Experiment26Neuralarjuna-7B-GGUF](https://huggingface.co/MaziyarPanahi/Experiment26Neuralarjuna-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Experiment26Neuralarjuna-7B](https://huggingface.co/automerger/Experiment26Neuralarjuna-7B)
## Descrip... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:Kukedlc/NeuralArjuna-7B-DT", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "text-genera... | MaziyarPanahi/Experiment26Neuralarjuna-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/Experiment26Neuralarjuna-7B
## Description
MaziyarPanahi/Experiment26Neuralarjuna-7B-GGUF contains GGUF format model files for automerger/Experiment26Neuralarjuna-7B.
## How to use
Thanks to TheBloke for preparin... | [
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null | null | ## モデルについて
与えられたinstructionをより難易度の高いものに書き換えるモデルを試験的に作成したものになります。
instructionデータセット作成にお役立てください。
不適切なinstructionが生成される可能性がありますので、出力のチェックは必須です。
詳細については[こちら](https://zenn.dev/kendama/articles/85ed50d31207bf)をご覧ください。
## 使い方
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftMode... | {"language": ["ja"], "license": "apache-2.0"} | Kendamarron/jimba-instruction-evolver-alpha_RakutenAI-7B-instruct_lora | null | [
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| ## モデルについて
与えられたinstructionをより難易度の高いものに書き換えるモデルを試験的に作成したものになります。
instructionデータセット作成にお役立てください。
不適切なinstructionが生成される可能性がありますので、出力のチェックは必須です。
詳細についてはこちらをご覧ください。
## 使い方
## 備考
Discordサーバー「ローカルLLMに向き合う会」とメタデータラボ株式会社が共同開催された「LOCAL AI HACKATHON #000」にて作成した成果物になります。 | [
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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. -->
# qlora-mistral-hackatone-yandexq
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingfa... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "qlora-mistral-hackatone-yandexq", "results": []}]} | ggeorge/qlora-mistral-hackatone-yandexq | null | [
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| qlora-mistral-hackatone-yandexq
===============================
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8327
Model description
-----------------
More information needed
Intended uses ... | [
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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. -->
# Pegasus_paraphraser_Com_11
This model is a fine-tuned version of [Gayathri142214002/Pegasus_paraphraser_Com_10](https://huggingf... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "Gayathri142214002/Pegasus_paraphraser_Com_10", "model-index": [{"name": "Pegasus_paraphraser_Com_11", "results": []}]} | Gayathri142214002/Pegasus_paraphraser_Com_11 | null | [
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| Pegasus\_paraphraser\_Com\_11
=============================
This model is a fine-tuned version of Gayathri142214002/Pegasus\_paraphraser\_Com\_10 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1738
Model description
-----------------
More information needed
Intended ... | [
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text-generation | transformers |
## Kukedlc/NeuralAlgo-7B-slerp model trained on Magic-Coder dataset | 10k 2 epochs | {"license": "apache-2.0"} | Kukedlc/NeuralCoder-7b | null | [
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image-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Image Classification
## Validation Metrics
loss: 0.011418873444199562
f1_macro: 1.0
f1_micro: 1.0
f1_weighted: 1.0
precision_macro: 1.0
precision_micro: 1.0
precision_weighted: 1.0
recall_macro: 1.0
recall_micro: 1.0
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text-generation | transformers |
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text-generation | transformers | # [MaziyarPanahi/Experiment26Yamshadow-7B-GGUF](https://huggingface.co/MaziyarPanahi/Experiment26Yamshadow-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Experiment26Yamshadow-7B](https://huggingface.co/automerger/Experiment26Yamshadow-7B)
## Description
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/bomb1 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
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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-generation | null |
Llama.cpp compatible versions of an original [7B model](https://huggingface.co/IlyaGusev/saiga_mistral_7b_lora).
Download one of the versions, for example `model-q4_K.gguf`.
```
wget https://huggingface.co/IlyaGusev/saiga_mistral_7b_gguf/resolve/main/model-q4_K.gguf
```
Download [interact_mistral_llamacpp.py](https:... | {"language": ["ru"], "license": "apache-2.0", "datasets": ["IlyaGusev/ru_turbo_saiga", "IlyaGusev/ru_sharegpt_cleaned", "IlyaGusev/oasst1_ru_main_branch", "IlyaGusev/ru_turbo_alpaca_evol_instruct", "lksy/ru_instruct_gpt4"], "inference": false, "pipeline_tag": "conversational"} | DFofanov78/saiga_mistral_7b_gguf | null | [
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"conversational",
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"dataset:lksy/ru_instruct_gpt4",
"license:apache-2.0",
"region:us"
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|
URL compatible versions of an original 7B model.
Download one of the versions, for example 'model-q4_K.gguf'.
Download interact_mistral_llamacpp.py
How to run:
System requirements:
* 10GB RAM for q8_0 and less for smaller quantizations
| [] | [
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] |
text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | aiwannafly/semantics-analysis-term-classifier-v.0.2 | null | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #roberta #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers |
# LeroyDyer/Mixtral_AI_Cyber_Dolphin-Q4_K_M-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_Cyber_Dolphin`](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_Dolphin) using llama.cpp.
Refer to the [original model card](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_Dolphin) for more details... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "llama-cpp"], "base_model": "LeroyDyer/Mixtral_AI_Cyber_Orca"} | LeroyDyer/Mixtral_AI_Cyber_Dolphin-Q4_K_M-GGUF | null | [
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"license:apache-2.0",
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|
# LeroyDyer/Mixtral_AI_Cyber_Dolphin-Q4_K_M-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_Cyber_Dolphin' using URL.
Refer to the original model card for more details on the model.
## Use with URL
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text-generation | transformers | <div align="left">
<h1>
Mengzi3-13B-Base
</h1>
</div>
<p align="center">
<img src="https://raw.githubusercontent.com/Langboat/Mengzi3/main/assets/mengzi_logo.png" width="200"/>
<p>
<p align="center">
🤗 <a href="https://huggingface.co/Langboat">Hugging Face</a> | 🤖 <a href="https://modelscope.cn/organiza... | {"language": ["zh", "en"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | blockblockblock/Mengzi3-13B-Base-bpw3 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"zh",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"3-bit",
"region:us"
] | null | 2024-03-31T09:36:16+00:00 | [] | [
"zh",
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #zh #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #3-bit #region-us
|
Mengzi3-13B-Base
=================
| 孟子GPT
模型介绍/Introduction
=================
本次开源Mengzi3 13B系列模型，模型的地址如下:
Mengzi3-13B模型基于Llama架构，语料精选自网页、百科、社交、媒体、新闻，以及高质量的开源数据集。通过在万亿tokens上进行多语言语料的继续训练，模型的中文能力突出并且兼顾多语言能力。
Mengzi3-13B is based on the Llama architecture, and the corpus is selected f... | [] | [
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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. -->
# llama2_7b_sampled_bhc_prompt
This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResea... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "NousResearch/Llama-2-7b-hf", "model-index": [{"name": "llama2_7b_sampled_bhc_prompt", "results": []}]} | RyanZZZZZ/llama2_7b_sampled_bhc_prompt | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:NousResearch/Llama-2-7b-hf",
"region:us"
] | null | 2024-03-31T09:38:10+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-NousResearch/Llama-2-7b-hf #region-us
|
# llama2_7b_sampled_bhc_prompt
This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trainin... | [
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text-generation | transformers | # [MaziyarPanahi/T3qExperiment26-7B-GGUF](https://huggingface.co/MaziyarPanahi/T3qExperiment26-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/T3qExperiment26-7B](https://huggingface.co/automerger/T3qExperiment26-7B)
## Description
[MaziyarPanahi/T3qExperiment26-... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:chihoonlee10/T3Q-Mistral-Orca-Math-DPO", "base_model:yam-peleg/Experiment26-7B", "license:apache-2.0", "autotra... | MaziyarPanahi/T3qExperiment26-7B-GGUF | null | [
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"merge",
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"lazymergekit",
"automerger",
"base_model:chihoonlee10/T3Q-Mistral-Orca-Math-DPO",
"base_model:yam-peleg/Experiment... | null | 2024-03-31T09:38:35+00:00 | [] | [] | TAGS
#transformers #gguf #mistral #quantized #2-bit #3-bit #4-bit #5-bit #6-bit #8-bit #GGUF #safetensors #text-generation #merge #mergekit #lazymergekit #automerger #base_model-chihoonlee10/T3Q-Mistral-Orca-Math-DPO #base_model-yam-peleg/Experiment26-7B #license-apache-2.0 #autotrain_compatible #endpoints_compatible #... | # MaziyarPanahi/T3qExperiment26-7B-GGUF
- Model creator: automerger
- Original model: automerger/T3qExperiment26-7B
## Description
MaziyarPanahi/T3qExperiment26-7B-GGUF contains GGUF format model files for automerger/T3qExperiment26-7B.
## How to use
Thanks to TheBloke for preparing an amazing README on how to use GG... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# pippinnie/distilgpt2-finetuned-wikitext2
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an u... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilgpt2", "model-index": [{"name": "pippinnie/distilgpt2-finetuned-wikitext2", "results": []}]} | pippinnie/distilgpt2-finetuned-wikitext2 | null | [
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"endpoints_compatible",
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"region:us"
] | null | 2024-03-31T09:40:28+00:00 | [] | [] | TAGS
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| pippinnie/distilgpt2-finetuned-wikitext2
========================================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 2.7255
* Validation Loss: 2.3696
* Epoch: 0
Model description
-----------------
More in... | [
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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-voilence-detection-vii
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["audiofolder"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "audio-voilence-detection-vii", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name": ... | Hemg/audio-voilence-detection-vii | null | [
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"base_model:facebook/wav2vec2-base",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-03-31T09:41:03+00:00 | [] | [] | TAGS
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| audio-voilence-detection-vii
============================
This model is a fine-tuned version of facebook/wav2vec2-base on the audiofolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6731
* Accuracy: 0.6
Model description
-----------------
More information needed
Intended uses &... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="hweemiin/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional at... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | hweemiin/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-03-31T09:41:27+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | LilyTheRoller/autotrain-0fkm4-h9rrq | null | [
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"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-03-31T09:45:40+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #autotrain #text-generation-inference #text-generation #peft #conversational #license-other #endpoints_compatible #has_space #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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] |
text-generation | null |
**(주)미디어그룹사람과숲과 (주)마커의 LLM 연구 컨소시엄으로 개발된 모델입니다(Pre-paring now...)**
**The license is `cc-by-nc-sa-4.0`.**
# **🥘MarkrAI/Gukbap-Large-v0.1-120b🥘**
## Model Details
**Model Developers** Seungyoo Lee (DopeorNope)
**Input** Models input text only.
**Output** Models generate text... | {"language": ["en", "ko"], "license": "cc-by-nc-sa-4.0", "datasets": ["MarkrAI/KoCommercial-Dataset"], "pipeline_tag": "text-generation"} | MarkrAI/Gukbap-Large-v0.1-120b | null | [
"text-generation",
"en",
"ko",
"dataset:MarkrAI/KoCommercial-Dataset",
"license:cc-by-nc-sa-4.0",
"region:us"
] | null | 2024-03-31T09:46:09+00:00 | [] | [
"en",
"ko"
] | TAGS
#text-generation #en #ko #dataset-MarkrAI/KoCommercial-Dataset #license-cc-by-nc-sa-4.0 #region-us
|
(주)미디어그룹사람과숲과 (주)마커의 LLM 연구 컨소시엄으로 개발된 모델입니다(Pre-paring now...)
The license is 'cc-by-nc-sa-4.0'.
# MarkrAI/Gukbap-Large-v0.1-120b
!img
## Model Details
Model Developers Seungyoo Lee (DopeorNope)
Input Models input text only.
Output Models generate text only.
Model Architecture
# Acknowledg... | [
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"# Acknowledgement\n\n- 이 모델은 과학기술정보통신부·광주광역시가 공동 지원한 '인공지능 중심 산업융합 집적단지 조성사업'으로 지원을 받아 수행된 연구 결과입니다.\... | [
"TAGS\n#text-generation #en #ko #dataset-MarkrAI/KoCommercial-Dataset #license-cc-by-nc-sa-4.0 #region-us \n",
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null | transformers |
# LeroyDyer/Mixtral_AI_Cyber_Orca-Q4_K_M-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_Cyber_Orca`](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_Orca) using llama.cpp.
Refer to the [original model card](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_Orca) for more details on the mode... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "llama-cpp"], "datasets": ["Open-Orca/OpenOrca"], "base_model": "LeroyDyer/Mixtral_AI_Cyber_4_m1_SFT"} | LeroyDyer/Mixtral_AI_Cyber_Orca-Q4_K_M-GGUF | null | [
"transformers",
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"unsloth",
"mistral",
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"en",
"dataset:Open-Orca/OpenOrca",
"base_model:LeroyDyer/Mixtral_AI_Cyber_4_m1_SFT",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-03-31T09:49:22+00:00 | [] | [
"en"
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|
# LeroyDyer/Mixtral_AI_Cyber_Orca-Q4_K_M-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_Cyber_Orca' using URL.
Refer to the original model card for more details on the model.
## Use with URL
| [
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"## Use with URL"
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text-generation | null |
Llama.cpp compatible versions of an original [7B model](https://huggingface.co/IlyaGusev/saiga2_7b_lora).
Download one of the versions, for example `model-q4_K.gguf`.
```
wget https://huggingface.co/IlyaGusev/saiga2_7b_gguf/resolve/main/model-q4_K.gguf
```
Download [interact_llamacpp.py](https://raw.githubuserconten... | {"language": ["ru"], "license": "llama2", "datasets": ["IlyaGusev/ru_turbo_alpaca", "IlyaGusev/ru_turbo_saiga", "IlyaGusev/ru_sharegpt_cleaned", "IlyaGusev/oasst1_ru_main_branch", "IlyaGusev/ru_turbo_alpaca_evol_instruct", "lksy/ru_instruct_gpt4"], "inference": false, "pipeline_tag": "conversational"} | DFofanov78/saiga2_7b_gguf | null | [
"gguf",
"conversational",
"ru",
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"dataset:lksy/ru_instruct_gpt4",
"license:llama2",
"regi... | null | 2024-03-31T09:52:35+00:00 | [] | [
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|
URL compatible versions of an original 7B model.
Download one of the versions, for example 'model-q4_K.gguf'.
Download interact_llamacpp.py
How to run:
System requirements:
* 10GB RAM for q8_0 and less for smaller quantizations
| [] | [
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] |
token-classification | transformers | # bert-large-NER
## Model description
**bert-large-NER** is a fine-tuned BERT model that is ready to use for **Named Entity Recognition** and achieves **state-of-the-art performance** for the NER task. It has been trained to recognize four types of entities: location (LOC), organizations (ORG), person (PER) and Misce... | {"language": "en", "license": "mit", "datasets": ["conll2003"], "model-index": [{"name": "dslim/bert-large-NER", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "dataset": {"name": "conll2003", "type": "conll2003", "config": "conll2003", "split": "test"}, "metrics": [{"type": "acc... | mdizak/bert-large-NER-rust | null | [
"transformers",
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"jax",
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"onnx",
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"token-classification",
"en",
"dataset:conll2003",
"arxiv:1810.04805",
"license:mit",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-03-31T09:53:22+00:00 | [
"1810.04805"
] | [
"en"
] | TAGS
#transformers #pytorch #tf #jax #rust #onnx #safetensors #bert #token-classification #en #dataset-conll2003 #arxiv-1810.04805 #license-mit #model-index #autotrain_compatible #endpoints_compatible #region-us
| bert-large-NER
==============
Model description
-----------------
bert-large-NER is a fine-tuned BERT model that is ready to use for Named Entity Recognition and achieves state-of-the-art performance for the NER task. It has been trained to recognize four types of entities: location (LOC), organizations (ORG), pers... | [
"#### How to use\n\n\nYou can use this model with Transformers *pipeline* for NER.",
"#### Limitations and bias\n\n\nThis model is limited by its training dataset of entity-annotated news articles from a specific span of time. This may not generalize well for all use cases in different domains. Furthermore, the m... | [
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"#### How to use\n\n\nYou can use this model with Transformers *pipeline* for NER.",
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text-generation | transformers | <div align="left">
<h1>
Mengzi3-13B-Base
</h1>
</div>
<p align="center">
<img src="https://raw.githubusercontent.com/Langboat/Mengzi3/main/assets/mengzi_logo.png" width="200"/>
<p>
<p align="center">
🤗 <a href="https://huggingface.co/Langboat">Hugging Face</a> | 🤖 <a href="https://modelscope.cn/organiza... | {"language": ["zh", "en"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | blockblockblock/Mengzi3-13B-Base-bpw3.5 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"zh",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-03-31T09:56:31+00:00 | [] | [
"zh",
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #zh #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
Mengzi3-13B-Base
=================
| 孟子GPT
模型介绍/Introduction
=================
本次开源Mengzi3 13B系列模型，模型的地址如下:
Mengzi3-13B模型基于Llama架构，语料精选自网页、百科、社交、媒体、新闻，以及高质量的开源数据集。通过在万亿tokens上进行多语言语料的继续训练，模型的中文能力突出并且兼顾多语言能力。
Mengzi3-13B is based on the Llama architecture, and the corpus is selected f... | [] | [
"TAGS\n#transformers #safetensors #llama #text-generation #zh #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | mustangs/gemma-medical_qa-Finetune | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-03-31T09:58:57+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gemma #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# extract_long_text_unbalanced_smaller_6
This model is a fine-tuned version of [weny22/sum_model_t5_saved](https://huggingface.co/... | {"tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "weny22/sum_model_t5_saved", "model-index": [{"name": "extract_long_text_unbalanced_smaller_6", "results": []}]} | Sheng-Yen/extract_long_text_unbalanced_smaller_6 | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:weny22/sum_model_t5_saved",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-03-31T10:03:36+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-weny22/sum_model_t5_saved #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| extract\_long\_text\_unbalanced\_smaller\_6
===========================================
This model is a fine-tuned version of weny22/sum\_model\_t5\_saved on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.2687
* Rouge1: 0.2023
* Rouge2: 0.0727
* Rougel: 0.1638
* Rougelsum: 0.16... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.002\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 20",
"### Train... | [
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text-generation | transformers | # [MaziyarPanahi/Experiment26Yam-7B-GGUF](https://huggingface.co/MaziyarPanahi/Experiment26Yam-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Experiment26Yam-7B](https://huggingface.co/automerger/Experiment26Yam-7B)
## Description
[MaziyarPanahi/Experiment26Yam-... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:mayacinka/yam-jom-7B", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "text-generation-i... | MaziyarPanahi/Experiment26Yam-7B-GGUF | null | [
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"autotrain_compatible",
... | null | 2024-03-31T10:05:10+00:00 | [] | [] | TAGS
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- Model creator: automerger
- Original model: automerger/Experiment26Yam-7B
## Description
MaziyarPanahi/Experiment26Yam-7B-GGUF contains GGUF format model files for automerger/Experiment26Yam-7B.
## How to use
Thanks to TheBloke for preparing an amazing README on how to use GG... | [
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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. -->
# llama2_7b_sampled_di_prompt
This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResear... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "NousResearch/Llama-2-7b-hf", "model-index": [{"name": "llama2_7b_sampled_di_prompt", "results": []}]} | RyanZZZZZ/llama2_7b_sampled_di_prompt | null | [
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|
# llama2_7b_sampled_di_prompt
This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training... | [
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text2text-generation | transformers |
# 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": []} | moatazmohamed/araT5-1500context-sample-epoch-5-v1 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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null | transformers | ## About
static quants of https://huggingface.co/allknowingroger/Experimentmultiverse-7B-slerp
<!-- provided-files -->
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuning-sentiment-model-bank_reviews-otherbank
This model is a fine-tuned version of [distilbert/distilbert-base-uncased-fine... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert/distilbert-base-uncased-finetuned-sst-2-english", "model-index": [{"name": "finetuning-sentiment-model-bank_reviews-otherbank", "results": []}]} | ajiayi/finetuning-sentiment-model-bank_reviews-otherbank | null | [
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|
# finetuning-sentiment-model-bank_reviews-otherbank
This model is a fine-tuned version of distilbert/distilbert-base-uncased-finetuned-sst-2-english on app store reviews from OCBC bank and POSB bank (Singapore).
It achieves the following results on the evaluation set:
- Loss: 0.4811
- Accuracy: 0.8630
- F1: 0.6970
... | [
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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": []} | abhishekyo/codellama2-finetuned-codex-fin5 | 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. -->
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text-classification | transformers |
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text-generation | transformers | <div align="left">
<h1>
Mengzi3-13B-Base
</h1>
</div>
<p align="center">
<img src="https://raw.githubusercontent.com/Langboat/Mengzi3/main/assets/mengzi_logo.png" width="200"/>
<p>
<p align="center">
🤗 <a href="https://huggingface.co/Langboat">Hugging Face</a> | 🤖 <a href="https://modelscope.cn/organiza... | {"language": ["zh", "en"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | blockblockblock/Mengzi3-13B-Base-bpw3.7 | null | [
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|
Mengzi3-13B-Base
=================
| 孟子GPT
模型介绍/Introduction
=================
本次开源Mengzi3 13B系列模型，模型的地址如下:
Mengzi3-13B模型基于Llama架构，语料精选自网页、百科、社交、媒体、新闻，以及高质量的开源数据集。通过在万亿tokens上进行多语言语料的继续训练，模型的中文能力突出并且兼顾多语言能力。
Mengzi3-13B is based on the Llama architecture, and the corpus is selected f... | [] | [
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text-generation | null | <!-- markdownlint-disable MD041 -->
<!-- header start --><!-- header end -->
# Malaysian Gemma 2B 16k instructions - GGUF
- Model creator: [mesolotica](https://huggingface.co/mesolitica)
- Original model: [Gemma 2B 16k instructions (FPF on Malaysian context)](https://huggingface.co/mesolitica/gemma-2B-16k-instruction... | {"language": ["ms"], "tags": ["finetuned"], "model_name": "Malaysian Gemma 2B 16k instructions (FPF on Malaysian context)", "base_model": "mesolitica/gemma-2B-16k-instructions", "inference": false, "model_creator": "mesolitica", "model_type": "mistral", "pipeline_tag": "text-generation", "prompt_template": "<start_of_t... | prsyahmi/malaysian-gemma-2B-16k-instructions-GGUF | null | [
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#gguf #finetuned #text-generation #ms #base_model-mesolitica/gemma-2B-16k-instructions #region-us
|
# Malaysian Gemma 2B 16k instructions - GGUF
- Model creator: mesolotica
- Original model: Gemma 2B 16k instructions (FPF on Malaysian context)
## Pengenalan
Repo ini mengandungi model berformat GGUF, iaitu format kepada URL yang dibangunkan menggunakan C/C++ dimana aplikasi ini kurang kebergantungan dengan softw... | [
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text-generation | transformers | # [MaziyarPanahi/NeuralsirkrishnaShadow-7B-GGUF](https://huggingface.co/MaziyarPanahi/NeuralsirkrishnaShadow-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/NeuralsirkrishnaShadow-7B](https://huggingface.co/automerger/NeuralsirkrishnaShadow-7B)
## Description
[Ma... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:CorticalStack/shadow-clown-7B-slerp", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "te... | MaziyarPanahi/NeuralsirkrishnaShadow-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/NeuralsirkrishnaShadow-7B
## Description
MaziyarPanahi/NeuralsirkrishnaShadow-7B-GGUF contains GGUF format model files for automerger/NeuralsirkrishnaShadow-7B.
## How to use
Thanks to TheBloke for preparing an ama... | [
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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": []} | quickstep3621/q892a6e | null | [
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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
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text-generation | transformers |
## LeroyDyer/Mixtral_AI_Cyber 5_7b
GOOD ONE!
Merging these models is crucial for consolidating the internal predictive nature of the network. Each model undergoes different fine-tuning and adjustment to its weights, maintaining consistent size across models is essential. Despite using the Mistral transformer ne... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["legal", "medical", "not-for-all-audiences"], "datasets": ["cognitivecomputations/dolphin", "Open-Orca/OpenOrca"], "metrics": ["accuracy", "code_eval", "bertscore", "bleu", "bleurt", "brier_score"], "base_model": ["LeroyDyer/Mixtral_... | LeroyDyer/Mixtral_AI_Cyber_5.0 | null | [
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## LeroyDyer/Mixtral_AI_Cyber 5_7b
GOOD ONE!
Merging these models is crucial for consolidating the internal predictive nature of the network. Each model undergoes different fine-tuning and adjustment to its weights, maintaining consistent size across models is essential. Despite using the Mistral transformer ne... | [
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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": []} | wiselychung/mistral_b_risk_finetuned_test-1 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | quickstep3621/4kgqywi | null | [
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### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
<!-- 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. -->
# Llama2-jp-127M-1
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the follow... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "Llama2-jp-127M-1", "results": []}]} | HachiML/Llama2-jp-127M-1 | null | [
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| Llama2-jp-127M-1
================
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.5952
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information 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. -->
# t5_small-finetuned-de-to-en
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-de-en](https://huggingface.co/Helsinki-N... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["wmt16"], "metrics": ["bleu"], "base_model": "Helsinki-NLP/opus-mt-de-en", "model-index": [{"name": "t5_small-finetuned-de-to-en", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset"... | AMNS4000/t5_small-finetuned-de-to-en | null | [
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| t5\_small-finetuned-de-to-en
============================
This model is a fine-tuned version of Helsinki-NLP/opus-mt-de-en on the wmt16 dataset.
It achieves the following results on the evaluation set:
* Loss: 5.1452
* Bleu: 5.5413
* Gen Len: 27.5002
Model description
-----------------
More information needed
... | [
"### 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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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": []} | 0x0mom/s_7 | null | [
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# LeroyDyer/Mixtral_AI_Cyber_5.0-Q4_K_M-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_Cyber_5.0`](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_5.0) using llama.cpp.
Refer to the [original model card](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_5.0) for more details on the model.
#... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp"], "datasets": ["cognitivecomputations/dolphin", "Open-Orca/OpenOrca"], "base_model": ["LeroyDyer/Mixtral_AI_Cyber_Orca", "LeroyDyer/Mixtral_AI_Cyber_4.0", "LeroyDyer/Mixtral_AI_Cyber_4.0_m1", "LeroyDy... | LeroyDyer/Mixtral_AI_Cyber_5.0-Q4_K_M-GGUF | null | [
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# LeroyDyer/Mixtral_AI_Cyber_5.0-Q4_K_M-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_Cyber_5.0' using URL.
Refer to the original model card for more details on the model.
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuning-sentiment-model-roberta
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on ... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "roberta-base", "model-index": [{"name": "finetuning-sentiment-model-roberta", "results": []}]} | AndreiUrsu/finetuning-sentiment-model-roberta | null | [
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|
# finetuning-sentiment-model-roberta
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3158
- Accuracy: 0.9457
- F1: 0.9435
## Model description
More information needed
## Intended uses & limitations
More information need... | [
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text-generation | transformers | <div align="left">
<h1>
Mengzi3-13B-Base
</h1>
</div>
<p align="center">
<img src="https://raw.githubusercontent.com/Langboat/Mengzi3/main/assets/mengzi_logo.png" width="200"/>
<p>
<p align="center">
🤗 <a href="https://huggingface.co/Langboat">Hugging Face</a> | 🤖 <a href="https://modelscope.cn/organiza... | {"language": ["zh", "en"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | blockblockblock/Mengzi3-13B-Base-bpw4 | null | [
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"text-generation-inference",
"4-bit",
"region:us"
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"zh",
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|
Mengzi3-13B-Base
=================
| 孟子GPT
模型介绍/Introduction
=================
本次开源Mengzi3 13B系列模型，模型的地址如下:
Mengzi3-13B模型基于Llama架构，语料精选自网页、百科、社交、媒体、新闻，以及高质量的开源数据集。通过在万亿tokens上进行多语言语料的继续训练，模型的中文能力突出并且兼顾多语言能力。
Mengzi3-13B is based on the Llama architecture, and the corpus is selected f... | [] | [
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] |
null | transformers |
# LeroyDyer/Mixtral_AI_Cyber_5.0-Q4_K_S-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_Cyber_5.0`](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_5.0) using llama.cpp.
Refer to the [original model card](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_5.0) for more details on the model.
#... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp"], "base_model": ["LeroyDyer/Mixtral_AI_Cyber_Orca", "LeroyDyer/Mixtral_AI_Cyber_4.0", "LeroyDyer/Mixtral_AI_Cyber_4.0_m1", "LeroyDyer/Mixtral_AI_Cyber_Dolphin", "LeroyDyer/Mixtral_AI_Cyber_4_m1_SFT", "LeroyDyer/Mixtral_AI_Cyber_3.m2"]} | LeroyDyer/Mixtral_AI_Cyber_5.0-Q4_K_S-GGUF | null | [
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# LeroyDyer/Mixtral_AI_Cyber_5.0-Q4_K_S-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_Cyber_5.0' using URL.
Refer to the original model card for more details on the model.
## Use with URL
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# alignment-adaptor-test02
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFace... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "HuggingFaceH4/zephyr-7b-beta", "model-index": [{"name": "alignment-adaptor-test02", "results": []}]} | Ksgk-fy/alignment-adaptor-test02 | null | [
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|
# alignment-adaptor-test02
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training ... | [
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unconditional-image-generation | diffusers |
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('oyyyyy/sd-class-butterflies... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | oyyyyy/sd-class-butterflies-32 | null | [
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"unconditional-image-generation",
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"license:mit",
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#diffusers #safetensors #pytorch #unconditional-image-generation #diffusion-models-class #license-mit #diffusers-DDPMPipeline #region-us
|
# Model Card for Unit 1 of the Diffusion Models Class
This model is a diffusion model for unconditional image generation of cute .
## Usage
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# posecls
This model was trained from scratch on the None dataset.
## Model description
More information needed
## Intended use... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "posecls", "results": []}]} | gechim/posecls | null | [
"transformers",
"safetensors",
"vit",
"image-classification",
"generated_from_trainer",
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"endpoints_compatible",
"region:us"
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#transformers #safetensors #vit #image-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
|
# posecls
This model was trained from scratch 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
The following hyperparameters wer... | [
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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": []} | 0x0son0/m_228 | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
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"region:us"
] | null | 2024-03-31T10:42:09+00:00 | [
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|
# Model Card for Model ID
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text-generation | transformers | # [MaziyarPanahi/YamYam-7B-GGUF](https://huggingface.co/MaziyarPanahi/YamYam-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/YamYam-7B](https://huggingface.co/automerger/YamYam-7B)
## Description
[MaziyarPanahi/YamYam-7B-GGUF](https://huggingface.co/MaziyarPanahi... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "mergekit", "merge", "base_model:mayacinka/yam-jom-7B", "base_model:mayacinka/yam-jom-7B-slerp", "autotrain_compatible", "endpoints_compatible", "text-generation-inference", ... | MaziyarPanahi/YamYam-7B-GGUF | null | [
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#transformers #gguf #mistral #quantized #2-bit #3-bit #4-bit #5-bit #6-bit #8-bit #GGUF #safetensors #text-generation #mergekit #merge #base_model-mayacinka/yam-jom-7B #base_model-mayacinka/yam-jom-7B-slerp #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us #base_model-automerger/Yam... | # MaziyarPanahi/YamYam-7B-GGUF
- Model creator: automerger
- Original model: automerger/YamYam-7B
## Description
MaziyarPanahi/YamYam-7B-GGUF contains GGUF format model files for automerger/YamYam-7B.
## How to use
Thanks to TheBloke for preparing an amazing README on how to use GGUF models:
### About GGUF
GGUF is ... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | vsc1234/alpaca-bitcoin-tweets-sentiment-1 | null | [
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text-to-image | null | ### cat Dreambooth model trained by NAZRIN2024 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 22B496:TCR22CH035
Sample pictures of this concept:
.png)
![1](https://huggingface.co/NAZ... | {"license": "creativeml-openrail-m", "tags": ["NxtWave-GenAI-Webinar", "text-to-image", "stable-diffusion"]} | NAZRIN2024/cat | null | [
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| ### cat Dreambooth model trained by NAZRIN2024 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 22B496:TCR22CH035
Sample pictures of this concept:
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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": []} | 0x7o/panorama-large | null | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="hweemiin/q-Taxi-v3-5x5", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False e... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3-5x5", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.5... | hweemiin/q-Taxi-v3-5x5 | null | [
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#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
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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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### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
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- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "gabrielmbmb/Upcycled-Qwen1.5-MoE2.7B"} | gabrielmbmb/Upcycled-Qwen1.5-MoE2.7B-LoRA-merged-32-2000-steps-adapter | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"language": ["my"], "library_name": "transformers", "pipeline_tag": "text-generation"} | Turtle344/health_qa_myanmar_mgpt_finetune | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-1_5-finetuned-aqua-rat-teacher-half-1
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/micro... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-aqua-rat-teacher-half-1", "results": []}]} | rk68/phi-1_5-finetuned-aqua-rat-teacher-half-1 | null | [
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|
# phi-1_5-finetuned-aqua-rat-teacher-half-1
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Train... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | moatazmohamed/araT5-1500context-sample-epoch-7-v1 | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# phi-1_5-finetuned-aqua-rat-teacher-half-2
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/micro... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-aqua-rat-teacher-half-2", "results": []}]} | rk68/phi-1_5-finetuned-aqua-rat-teacher-half-2 | null | [
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"generated_from_trainer",
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-microsoft/phi-1_5 #license-mit #region-us
|
# phi-1_5-finetuned-aqua-rat-teacher-half-2
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Train... | [
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text-generation | transformers | <div align="left">
<h1>
Mengzi3-13B-Base
</h1>
</div>
<p align="center">
<img src="https://raw.githubusercontent.com/Langboat/Mengzi3/main/assets/mengzi_logo.png" width="200"/>
<p>
<p align="center">
🤗 <a href="https://huggingface.co/Langboat">Hugging Face</a> | 🤖 <a href="https://modelscope.cn/organiza... | {"language": ["zh", "en"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | blockblockblock/Mengzi3-13B-Base-bpw4.2 | null | [
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|
Mengzi3-13B-Base
=================
| 孟子GPT
模型介绍/Introduction
=================
本次开源Mengzi3 13B系列模型，模型的地址如下:
Mengzi3-13B模型基于Llama架构，语料精选自网页、百科、社交、媒体、新闻，以及高质量的开源数据集。通过在万亿tokens上进行多语言语料的继续训练，模型的中文能力突出并且兼顾多语言能力。
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text-generation | transformers |
# Credit for the model card's description goes to ddh0, mergekit, and NousResearch
# Hermes-2-Pro-Mistral-10.7B
This is Hermes-2-Pro-Mistral-10.7B, a depth-upscaled version of [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B).
This model is intended to be used as a b... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge", "Mistral", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "synthetic data", "distillation", "function calling", "json mode"], "datasets": ["teknium/OpenHermes-2.5"], "base_model": "mistralai/Mistral-7B-... | Joseph717171/Hermes-2-Pro-Mistral-10.7B | null | [
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# Credit for the model card's description goes to ddh0, mergekit, and NousResearch
# Hermes-2-Pro-Mistral-10.7B
This is Hermes-2-Pro-Mistral-10.7B, a depth-upscaled version of NousResearch/Hermes-2-Pro-Mistral-7B.
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# FFPP-Raw_1FPS_faces-expand-40-aligned_val-ds-celeb-df
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "FFPP-Raw_1FPS_faces-expand-40-aligned_val-ds-celeb-df", "results": [{"task": {"type": "image-classification", "name": "Ima... | hchcsuim/FFPP-Raw_1FPS_faces-expand-40-aligned_val-ds-celeb-df | null | [
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| FFPP-Raw\_1FPS\_faces-expand-40-aligned\_val-ds-celeb-df
========================================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6364
* Accuracy: 0.7452
Mode... | [
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text-generation | transformers | # [MaziyarPanahi/YamT3qm7xp-7B-GGUF](https://huggingface.co/MaziyarPanahi/YamT3qm7xp-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/YamT3qm7xp-7B](https://huggingface.co/automerger/YamT3qm7xp-7B)
## Description
[MaziyarPanahi/YamT3qm7xp-7B-GGUF](https://huggingf... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:mayacinka/yam-jom-7B", "base_model:nlpguy/T3QM7XP", "license:apache-2.0", "autotrain_compatible", "endpoints_co... | MaziyarPanahi/YamT3qm7xp-7B-GGUF | null | [
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"license:apache-2.0... | null | 2024-03-31T11:00:20+00:00 | [] | [] | TAGS
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- Model creator: automerger
- Original model: automerger/YamT3qm7xp-7B
## Description
MaziyarPanahi/YamT3qm7xp-7B-GGUF contains GGUF format model files for automerger/YamT3qm7xp-7B.
## How to use
Thanks to TheBloke for preparing an amazing README on how to use GGUF models:
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text-to-image | diffusers | ### ankita3 Dreambooth model trained by TheGenericUser with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-st... | {"license": "creativeml-openrail-m", "tags": ["text-to-image", "stable-diffusion"]} | TheGenericUser/ankita3 | null | [
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#diffusers #safetensors #text-to-image #stable-diffusion #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| ### ankita3 Dreambooth model trained by TheGenericUser with TheLastBen's fast-DreamBooth notebook
Test the concept via A1111 Colab fast-Colab-A1111
Sample pictures of this concept:
| [
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token-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. -->
# xlm-roberta-base-finetuned-panx-de-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-robert... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de-fr", "results": []}]} | juhyun76/xlm-roberta-base-finetuned-panx-de-fr | null | [
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| xlm-roberta-base-finetuned-panx-de-fr
=====================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1695
* F1: 0.8608
Model description
-----------------
More information needed
Intended uses... | [
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text-to-image | diffusers | ### cat8 Dreambooth model trained by NAZRIN2024 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 22B496:TCR22CH035
Sample pictures of this concept:
| {"license": "creativeml-openrail-m", "tags": ["NxtWave-GenAI-Webinar", "text-to-image", "stable-diffusion"]} | NAZRIN2024/cat8 | null | [
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| ### cat8 Dreambooth model trained by NAZRIN2024 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 22B496:TCR22CH035
Sample pictures of this concept:
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text-generation | transformers |
# EEVE-Korean-Instruct-10.8B-v1.0-AWQ
- Model creator: [Yanolja](https://huggingface.co/yanolja)
- Original model: [yanolja/EEVE-Korean-Instruct-10.8B-v1.0](https://huggingface.co/yanolja/EEVE-Korean-Instruct-10.8B-v1.0)
<!-- description start -->
## Description
This repo contains AWQ model files for [yanolja/EEVE-K... | {"language": ["ko"], "license": "apache-2.0", "library_name": "transformers", "base_model": "yanolja/EEVE-Korean-Instruct-10.8B-v1.0", "inference": false, "pipeline_tag": "text-generation"} | Copycats/EEVE-Korean-Instruct-10.8B-v1.0-AWQ | null | [
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|
# EEVE-Korean-Instruct-10.8B-v1.0-AWQ
- Model creator: Yanolja
- Original model: yanolja/EEVE-Korean-Instruct-10.8B-v1.0
## Description
This repo contains AWQ model files for yanolja/EEVE-Korean-Instruct-10.8B-v1.0.
### About AWQ
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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": []} | thomnis/Enlighten_Instruct_merged | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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text-generation | transformers |
# 👁️ GLaMM-FullScope
---
## 📝 Description
GLaMM-FullScope encompasses all capabilities of GLaMM, which is mixed finetuned with many open-source datasets. "Full" signifies its comprehensive nature, incorporating the full range of GLaMM capabilities including
Grounded Conversation Generation (GCG), Referring Express... | {"license": "apache-2.0"} | MBZUAI/GLaMM-FullScope_v0 | null | [
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"llava",
"text-generation",
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"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-03-31T11:13:07+00:00 | [
"2311.03356"
] | [] | TAGS
#transformers #pytorch #llava #text-generation #arxiv-2311.03356 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# ️ GLaMM-FullScope
---
## Description
GLaMM-FullScope encompasses all capabilities of GLaMM, which is mixed finetuned with many open-source datasets. "Full" signifies its comprehensive nature, incorporating the full range of GLaMM capabilities including
Grounded Conversation Generation (GCG), Referring Expression ... | [
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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. -->
# results_modified
This model is a fine-tuned version of [pieken/saiga2_7b_lora_merged](https://huggingface.co/pieken/saiga2_7b_lo... | {"tags": ["generated_from_trainer"], "base_model": "pieken/saiga2_7b_lora_merged", "model-index": [{"name": "results_modified", "results": []}]} | Megnis/results_modified | null | [
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"region:us"
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#generated_from_trainer #base_model-pieken/saiga2_7b_lora_merged #region-us
|
# results_modified
This model is a fine-tuned version of pieken/saiga2_7b_lora_merged 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 hyperparam... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **PongNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **PongNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingf... | {"library_name": "stable-baselines3", "tags": ["PongNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PongNoFrameskip-v4", "type":... | iliabel/DQN-Pong_v4_v12 | null | [
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"PongNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-03-31T11:17:54+00:00 | [] | [] | TAGS
#stable-baselines3 #PongNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing PongNoFrameskip-v4
This is a trained model of a DQN agent playing PongNoFrameskip-v4
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# opus-mt-en-bkm-10e6encdec
This model is a fine-tuned version of [kalese/opus-mt-en-bkm-10e64](https://huggingface.co/kalese/opus... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["arrow"], "metrics": ["bleu"], "base_model": "kalese/opus-mt-en-bkm-10e64", "model-index": [{"name": "opus-mt-en-bkm-10e6encdec", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset":... | kalese/opus-mt-en-bkm-10e6encdec | null | [
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| opus-mt-en-bkm-10e6encdec
=========================
This model is a fine-tuned version of kalese/opus-mt-en-bkm-10e64 on the arrow dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2348
* Bleu: 11.9553
* Gen Len: 59.1988
Model description
-----------------
More information needed
Int... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
"### Train... | [
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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": []} | abhishekyo/codellama2-finetuned-codex-fin6 | null | [
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"region:us"
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Model type:
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text-generation | transformers | <div align="left">
<h1>
Mengzi3-13B-Base
</h1>
</div>
<p align="center">
<img src="https://raw.githubusercontent.com/Langboat/Mengzi3/main/assets/mengzi_logo.png" width="200"/>
<p>
<p align="center">
🤗 <a href="https://huggingface.co/Langboat">Hugging Face</a> | 🤖 <a href="https://modelscope.cn/organiza... | {"language": ["zh", "en"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | blockblockblock/Mengzi3-13B-Base-bpw4.4 | null | [
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"zh",
"en",
"license:apache-2.0",
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"region:us"
] | null | 2024-03-31T11:19:56+00:00 | [] | [
"zh",
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #zh #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
Mengzi3-13B-Base
=================
| 孟子GPT
模型介绍/Introduction
=================
本次开源Mengzi3 13B系列模型，模型的地址如下:
Mengzi3-13B模型基于Llama架构，语料精选自网页、百科、社交、媒体、新闻，以及高质量的开源数据集。通过在万亿tokens上进行多语言语料的继续训练，模型的中文能力突出并且兼顾多语言能力。
Mengzi3-13B is based on the Llama architecture, and the corpus is selected f... | [] | [
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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": []} | wiselychung/mistral_b_risk_finetuned_test-2 | null | [
"transformers",
"tensorboard",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #tensorboard #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# llama2-docsum-adapter
This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Lla... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "NousResearch/Llama-2-7b-hf", "model-index": [{"name": "llama2-docsum-adapter", "results": []}]} | Rajadurai/llama2-docsum-adapter | null | [
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"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:NousResearch/Llama-2-7b-hf",
"region:us"
] | null | 2024-03-31T11:22:30+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-NousResearch/Llama-2-7b-hf #region-us
| llama2-docsum-adapter
=====================
This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1430
Model description
-----------------
More information needed
Intended uses & limitations
--------------------... | [
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text-generation | transformers | # [MaziyarPanahi/Experiment27Yam-7B-GGUF](https://huggingface.co/MaziyarPanahi/Experiment27Yam-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Experiment27Yam-7B](https://huggingface.co/automerger/Experiment27Yam-7B)
## Description
[MaziyarPanahi/Experiment27Yam-... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:mayacinka/yam-jom-7B-slerp", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "text-genera... | MaziyarPanahi/Experiment27Yam-7B-GGUF | null | [
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"base_model:mayacinka/yam-jom-7B-slerp",
"license:apache-2.0",
"autotrain_compatibl... | null | 2024-03-31T11:24:27+00:00 | [] | [] | TAGS
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- Model creator: automerger
- Original model: automerger/Experiment27Yam-7B
## Description
MaziyarPanahi/Experiment27Yam-7B-GGUF contains GGUF format model files for automerger/Experiment27Yam-7B.
## How to use
Thanks to TheBloke for preparing an amazing README on how to use GG... | [
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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. -->
# phi-1_5-finetuned-aqua-rat-3k
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-aqua-rat-3k", "results": []}]} | rk68/phi-1_5-finetuned-aqua-rat-3k | null | [
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# phi-1_5-finetuned-aqua-rat-3k
This model is a fine-tuned version of microsoft/phi-1_5 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 hyperpar... | [
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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": []} | jjgerbo/DeciLM-7B-instagram-post-generation-2 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Quantized BitNet-B1-58-3B
This repository contains a quantized version of the [1bitLLM/bitnet_b1_58-3B](https://huggingface.co/1bitLLM/bitnet_b1_58-3B) model.
While the original repository showcases impressive validation results, it emulates BitNet's Linear layers, resulting in memory usage similar to fp16 models.... | {"license": "mit"} | kousw/bitnet_b1_58-3B_quantized | null | [
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# Quantized BitNet-B1-58-3B
This repository contains a quantized version of the 1bitLLM/bitnet_b1_58-3B model.
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mongolian_FakeNews_Comprehendo
This model is a fine-tuned version of [microsoft/deberta-v3-xsmall](https://huggingface.co/micros... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/deberta-v3-xsmall", "model-index": [{"name": "Mongolian_FakeNews_Comprehendo", "results": []}]} | vaibhav1/Mongolian_FakeNews_Comprehendo | null | [
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#transformers #tensorboard #safetensors #deberta-v2 #generated_from_trainer #base_model-microsoft/deberta-v3-xsmall #license-mit #endpoints_compatible #region-us
|
# Mongolian_FakeNews_Comprehendo
This model is a fine-tuned version of microsoft/deberta-v3-xsmall on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trai... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [LeroyDyer/Mistral_AI_CyberBrain](https://huggingface.co/LeroyDyer/Mistral_... | {"library_name": "transformers", "tags": ["mergekit", "merge", "legal", "code", "Cyber-Series"], "base_model": ["ezelikman/quietstar-8-ahead", "LeroyDyer/Mistral_AI_CyberBrain", "liminerity/Mistral-quiet-star-demo", "LeroyDyer/Mixtral_AI_Cyber_Dolphin"]} | LeroyDyer/Mixtral_AI_CyberBrain_2.0 | null | [
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... | null | 2024-03-31T11:37:11+00:00 | [
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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 TIES merge method using LeroyDyer/Mistral_AI_CyberBrain as a base.
### Models Merged
The following models were included in the merge:
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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_sixth_model
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-larg... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-large-cnn", "model-index": [{"name": "my_awesome_sixth_model", "results": []}]} | mustashot/my_awesome_sixth_model | null | [
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] | null | 2024-03-31T11:37:45+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-large-cnn #license-mit #autotrain_compatible #endpoints_compatible #region-us
| my\_awesome\_sixth\_model
=========================
This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8857
* Rouge1: 0.308
* Rouge2: 0.1151
* Rougel: 0.2066
* Rougelsum: 0.2065
* Gen Len: 79.1051
Model description
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 5\n* eval\\_batch\\_size: 5\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 10\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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