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text-generation | transformers |
<div align="center">
<img width="260px" src="https://cdn-uploads.huggingface.co/production/uploads/5f3fe13d79c1ba4c353d0c19/BrQCb95lmEIFz79QAmoNA.png"></div>
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<h1>Advan... | {"language": ["en"], "license": "llama3", "tags": ["llama-3", "llama", "Mixtral", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "distillation"], "base_model": "meta-llama/Meta-Llama-3-8B", "widget": [{"example_title": "OpenBioLLM-8B", "messages": [{"role": "system", "content": "You are an expert and experien... | matteocap/OpenBioLLM-Llama3-8B_safetensors | null | [
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Advancing Open-source Large Language Models in Medical Domain
=============================================================
Online Demo
|
GitHub
|
[](#) |
Discord
!image/jpeg
Introducing OpenBioLLM-8B: A State-of-the-Art Open Source Biomedical Large... | [] | [
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text-generation | transformers |
This model is randomly initialized, using the config from [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) but with smaller size.
Note the model is in float16.
Codes:
```python
import transformers
import torch
import os
from huggingface_hub import create_repo, upload_fo... | {"library_name": "transformers", "pipeline_tag": "text-generation", "inference": true, "widget": [{"text": "Hello!", "example_title": "Hello world", "group": "Python"}]} | yujiepan/phi-3-tiny-random | null | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg", "base_mo... | PrunaAI/meta-llama-Meta-Llama-3-8B-Instruct-AWQ-4bit-smashed | null | [
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<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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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. -->
# group3_non_all_zero
This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "group3_non_all_zero", "results": []}]} | anismahmahi/group3_non_all_zero | null | [
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| group3\_non\_all\_zero
======================
This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0497
* Precision: 0.0638
* Recall: 0.2421
* F1: 0.1009
* Accuracy: 0.9339
Model description
-----------------
Mo... | [
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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": []} | martinsinnona/visdecode_2024_6 | null | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-1b_mz-130_IMDB_n-its-10-seed-4
This model is a fine-tuned version of [EleutherAI/pythia-1b](https://huggingfac... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-1b", "model-index": [{"name": "robust_llm_pythia-1b_mz-130_IMDB_n-its-10-seed-4", "results": []}]} | AlignmentResearch/robust_llm_pythia-1b_mz-130_IMDB_n-its-10-seed-4 | null | [
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|
# robust_llm_pythia-1b_mz-130_IMDB_n-its-10-seed-4
This model is a fine-tuned version of EleutherAI/pythia-1b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | joberiai/onepiece | null | [
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Congratulations on hosting your fastai model on the Hugging Face Hub!
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text-generation | transformers | # Aloe: A New Family of Healthcare LLMs
Aloe is a new family of healthcare LLMs that is highly competitive with all previous open models of its range and reaches state-of-the-art results at its size by using model merging and advanced prompting strategies. Aloe scores high in metrics measuring ethics and factuality, t... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["biology", "medical"], "datasets": ["argilla/dpo-mix-7k", "nvidia/HelpSteer", "jondurbin/airoboros-3.2", "hkust-nlp/deita-10k-v0", "LDJnr/Capybara", "HPAI-BSC/CareQA", "GBaker/MedQA-USMLE-4-options", "lukaemon/mmlu", "bigbio/pubmed... | HPAI-BSC/Llama3-Aloe-8B-Alpha | null | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Meta-Llama-3-8B-Instruct_fictional_Japanese_v1
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https... | {"license": "other", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Meta-Llama-3-8B-Instruct_fictional_Japanese_v1", "results": []}]} | yzhuang/Meta-Llama-3-8B-Instruct_fictional_Japanese_v1 | null | [
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|
# Meta-Llama-3-8B-Instruct_fictional_Japanese_v1
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "openlm-research/open_llama_3b_v2"} | yiyic/llama3b-text-entprop-lora-clf-epoch-1 | null | [
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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
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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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null | peft |
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text-generation | transformers | # ErisMaidFlame-7B
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
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| # ErisMaidFlame-7B
This is a merge of pre-trained language models created using mergekit.
## Merge Details
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This model was merged using the SLERP merge method.
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null | peft |
# Model Card for Model ID
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- **Developed by:** [More Information Needed]
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null | transformers |
# Model Card for Model ID
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | adrianmedinav/whisper-small-peft-03-test | null | [
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text-classification | transformers | This model and associated code are released under the CC-BY-NC-ND 4.0 license and may only be used for non-commercial, academic research purposes with proper attribution.
Any commercial use, sale, or other monetization of the DR_SHAHEENAI model and its derivatives, which include models trained on outputs from the DR_... | {"license": "cc-by-nc-nd-4.0", "pipeline_tag": "text-classification"} | ShaheenLab/DR_SHAHEENAI | null | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Br - Arzhur Koadek
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whis... | {"language": ["br"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_17_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Br - Arzhur Koadek", "results": [{"task": {"type": "automatic-speech-recognition", "na... | ArzhurKoadek/whisper-small-br | null | [
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| Whisper Small Br - Arzhur Koadek
================================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 17.0 dataset.
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* Loss: 0.9421
* Wer: 52.2397
Model description
-----------------
More information needed
Inte... | [
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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": []} | fxmeng/PiSSA-Llama-2-7B-r32-4bit-5iter | null | [
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text-generation | null |
# Qwen1.5-110B-Chat
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
* 9 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B, 72B, and 110B dense mode... | {"language": ["en"], "license": "other", "tags": ["chat"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-110B-Chat/blob/main/LICENSE", "pipeline_tag": "text-generation"} | LoneStriker/Qwen1.5-110B-Chat-GGUF | null | [
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#gguf #chat #text-generation #en #license-other #region-us
|
# Qwen1.5-110B-Chat
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
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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. -->
# V0424HMA18
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0424HMA18", "results": []}]} | Litzy619/V0424HMA18 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0424HMA18
==========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0654
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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": []} | PathofthePeople/myFirstLocationModel | 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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text-generation | transformers |
# Introduction
MetaAligner-HH-RLHF-7B is part of the <em>MetaAligner</em> project, the first policy-agnostic and generalizable method for multi-objective preference alignment of large
language models. This model is finetuned based on the Meta LLaMA2-7B foundation model and
the dynamic multi-objective dataset built fr... | {"language": ["en"], "license": "mit", "tags": ["Human Preference Alignment", "large language models"], "datasets": ["Anthropic/hh-rlhf", "MetaAligner/HH-RLHF-MetaAligner-Data"]} | MetaAligner/MetaAligner-HH-RLHF-7B | null | [
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|
# Introduction
MetaAligner-HH-RLHF-7B is part of the <em>MetaAligner</em> project, the first policy-agnostic and generalizable method for multi-objective preference alignment of large
language models. This model is finetuned based on the Meta LLaMA2-7B foundation model and
the dynamic multi-objective dataset built fr... | [
"# Introduction\nMetaAligner-HH-RLHF-7B is part of the <em>MetaAligner</em> project, the first policy-agnostic and generalizable method for multi-objective preference alignment of large\nlanguage models. This model is finetuned based on the Meta LLaMA2-7B foundation model and \nthe dynamic multi-objective dataset b... | [
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fill-mask | 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. -->
# roberta-urdu-small-finetuned-urdu
This model is a fine-tuned version of [urduhack/roberta-urdu-small](https://huggingface.co/urd... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "urduhack/roberta-urdu-small", "model-index": [{"name": "roberta-urdu-small-finetuned-urdu", "results": []}]} | cxfajar197/roberta-urdu-small-finetuned-urdu | null | [
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"license:mit",
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"region:us"
] | null | 2024-04-26T16:49:36+00:00 | [] | [] | TAGS
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| roberta-urdu-small-finetuned-urdu
=================================
This model is a fine-tuned version of urduhack/roberta-urdu-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 5.2432
Model description
-----------------
More information needed
Intended uses & limit... | [
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"### Traini... | [
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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. -->
# TrainedSentiment
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "TrainedSentiment", "results": []}]} | PathofthePeople/TrainedSentiment | null | [
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| TrainedSentiment
================
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: 0.0299
* Accuracy: 0.9833
Model description
-----------------
More information needed
Intended uses & limitations
---... | [
"### 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: 20",
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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. -->
# code-llama-7b-text-to-sql
This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/Cod... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "codellama/CodeLlama-7b-hf", "model-index": [{"name": "code-llama-7b-text-to-sql", "results": []}]} | xinxin-gu/code-llama-7b-text-to-sql | null | [
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"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:codellama/CodeLlama-7b-hf",
"license:llama2",
"region:us"
] | null | 2024-04-26T16:55:11+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-codellama/CodeLlama-7b-hf #license-llama2 #region-us
|
# code-llama-7b-text-to-sql
This model is a fine-tuned version of codellama/CodeLlama-7b-hf on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training... | [
"# code-llama-7b-text-to-sql\n\nThis model is a fine-tuned version of codellama/CodeLlama-7b-hf on the generator dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# model
This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None da... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "vinai/phobert-base-v2", "model-index": [{"name": "model", "results": []}]} | beaconva/model | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:vinai/phobert-base-v2",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T16:55:22+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-vinai/phobert-base-v2 #autotrain_compatible #endpoints_compatible #region-us
| model
=====
This model is a fine-tuned version of vinai/phobert-base-v2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1946
* Accuracy: 0.9576
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More inf... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-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: 10",
"### Train... | [
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null | transformers |
# n00854180t/ErisMaidFlame-7B-Q4_K_M-GGUF
This model was converted to GGUF format from [`n00854180t/ErisMaidFlame-7B`](https://huggingface.co/n00854180t/ErisMaidFlame-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](http... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["nbeerbower/MaidFlameSoup-7B", "ChaoticNeutrals/Eris_Remix_DPO_7B"]} | n00854180t/ErisMaidFlame-7B-Q4_K_M-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"base_model:nbeerbower/MaidFlameSoup-7B",
"base_model:ChaoticNeutrals/Eris_Remix_DPO_7B",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T16:56:11+00:00 | [] | [] | TAGS
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|
# n00854180t/ErisMaidFlame-7B-Q4_K_M-GGUF
This model was converted to GGUF format from 'n00854180t/ErisMaidFlame-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server... | [
"# n00854180t/ErisMaidFlame-7B-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'n00854180t/ErisMaidFlame-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# basakdemirok/bert-base-turkish-cased-off_detect_v0123
This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://hu... | {"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "dbmdz/bert-base-turkish-cased", "model-index": [{"name": "basakdemirok/bert-base-turkish-cased-off_detect_v0123", "results": []}]} | basakdemirok/bert-base-turkish-cased-off_detect_v0123 | null | [
"transformers",
"tf",
"tensorboard",
"bert",
"text-classification",
"generated_from_keras_callback",
"base_model:dbmdz/bert-base-turkish-cased",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T16:56:25+00:00 | [] | [] | TAGS
#transformers #tf #tensorboard #bert #text-classification #generated_from_keras_callback #base_model-dbmdz/bert-base-turkish-cased #license-mit #autotrain_compatible #endpoints_compatible #region-us
| basakdemirok/bert-base-turkish-cased-off\_detect\_v0123
=======================================================
This model is a fine-tuned version of dbmdz/bert-base-turkish-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.0028
* Validation Loss: 0.8841
* Train F... | [
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null | transformers |
# n00854180t/ErisMaidFlame-7B-Q8_0-GGUF
This model was converted to GGUF format from [`n00854180t/ErisMaidFlame-7B`](https://huggingface.co/n00854180t/ErisMaidFlame-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https:... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["nbeerbower/MaidFlameSoup-7B", "ChaoticNeutrals/Eris_Remix_DPO_7B"]} | n00854180t/ErisMaidFlame-7B-Q8_0-GGUF | null | [
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"base_model:ChaoticNeutrals/Eris_Remix_DPO_7B",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T17:00:16+00:00 | [] | [] | TAGS
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|
# n00854180t/ErisMaidFlame-7B-Q8_0-GGUF
This model was converted to GGUF format from 'n00854180t/ErisMaidFlame-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
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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": ["unsloth", "trl", "sft"]} | basakerdogan/Cyber-Jarvis | 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]:
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text-generation | transformers |
# NeuralHermes-Mistral-7B-slerp
NeuralHermes-Mistral-7B-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B)
* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mist... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "mlabonne/NeuralHermes-2.5-Mistral-7B", "mistralai/Mistral-7B-Instruct-v0.2"]} | lawrencewu/NeuralHermes-Mistral-7B-slerp | null | [
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"text-generation-inference... | null | 2024-04-26T17:01:25+00:00 | [] | [] | TAGS
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|
# NeuralHermes-Mistral-7B-slerp
NeuralHermes-Mistral-7B-slerp is a merge of the following models using mergekit:
* mlabonne/NeuralHermes-2.5-Mistral-7B
* mistralai/Mistral-7B-Instruct-v0.2
## Configuration
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text-generation | transformers |
# Exl2 quant done of [LewdPlay Evo](https://huggingface.co/Undi95/Llama-3-LewdPlay-8B-evo)
# LewdPlay-8B
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
The new EVOLVE merge method was used (on MMLU specifically), see below for more information!
Unholy ... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["vicgalle/Roleplay-Llama-3-8B", "Undi95/Llama-3-Unholy-8B-e4", "Undi95/Llama-3-LewdPlay-8B"]} | Pyroserenus/Llama-3-LewdPlay-8B-evo-6.0bpw-exl2 | null | [
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"a... | null | 2024-04-26T17:02:56+00:00 | [
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# Exl2 quant done of LewdPlay Evo
# LewdPlay-8B
This is a merge of pre-trained language models created using mergekit.
The new EVOLVE merge method was used (on MMLU specifically), see below for more information!
Unholy was used for uncensoring, Roleplay Llama 3 for the DPO train he got on top, and LewdPlay for t... | [
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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. -->
# Whisper-small-L2Arctic
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small)... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper-small-L2Arctic", "results": []}]} | nrshoudi/Whisper-small-L2Arctic | null | [
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| Whisper-small-L2Arctic
======================
This model is a fine-tuned version of openai/whisper-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6319
Model description
-----------------
More information needed
Intended uses & limitations
----------------------... | [
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null | transformers |
# Uploaded model
- **Developed by:** kchopra04
- **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... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | kchopra04/lora_model | null | [
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|
# Uploaded model
- Developed by: kchopra04
- 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 |
# 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": []} | pruning/j019e7c | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | pruning/trkhh0l | 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 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?"}]}], "pipeline_tag": "text-generation"} | Blue-kod/phi2strela | null | [
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|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# 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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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | 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 |
# Introduction
MetaAligner-IMHI-7B is part of the <em>MetaAligner</em> project, the first policy-agnostic and generalizable method for multi-objective preference alignment of large
language models. This model is finetuned based on the Meta LLaMA2-7B foundation model and
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# Introduction
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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. -->
# causal
This model is a fine-tuned version of [EleutherAI/gpt-neo-125M](https://huggingface.co/EleutherAI/gpt-neo-125M) on the el... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "EleutherAI/gpt-neo-125M", "model-index": [{"name": "causal", "results": []}]} | qianyihuang1203/causal | null | [
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| causal
======
This model is a fine-tuned version of EleutherAI/gpt-neo-125M on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 3.6742
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More informat... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "openlm-research/open_llama_3b_v2"} | yiyic/llama3b-text-entprop-lora-clf-epoch-2 | null | [
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### Model Description
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- Finetuned from model [optional]:
### Model Sources [optional]
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null | mlx |
# mlx-community/nanoLLaVA-4bit
This model was converted to MLX format from [`qnguyen3/nanoLLaVA`]() using mlx-vllm version **0.0.3**.
Refer to the [original model card](https://huggingface.co/qnguyen3/nanoLLaVA) for more details on the model.
## Use with mlx
```bash
pip install -U mlx-vlm
```
```bash
python -m mlx_v... | {"language": ["en"], "license": "apache-2.0", "tags": ["llava", "multimodal", "qwen", "mlx"]} | mlx-community/nanoLLaVA-4bit | null | [
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|
# mlx-community/nanoLLaVA-4bit
This model was converted to MLX format from ['qnguyen3/nanoLLaVA']() using mlx-vllm version 0.0.3.
Refer to the original model card for more details on the model.
## Use with mlx
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text-generation | transformers |
# dfurman/Llama-3-70B-Orpo-v0.1
This is an ORPO fine-tune of [meta-llama/Meta-Llama-3-70B](https://huggingface.co/meta-llama/Meta-Llama-3-70B) on 2k samples of [mlabonne/orpo-dpo-mix-40k](https://huggingface.co/datasets/mlabonne/... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["orpo", "llama 3", "rlhf", "sft"], "datasets": ["mlabonne/orpo-dpo-mix-40k"], "base_model": ["meta-llama/Meta-Llama-3-70B"]} | dfurman/Llama-3-70B-Orpo-v0.1 | null | [
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|
# dfurman/Llama-3-70B-Orpo-v0.1
![](URL
This is an ORPO fine-tune of meta-llama/Meta-Llama-3-70B on 2k samples of mlabonne/orpo-dpo-mix-40k.
It's a successful fine-tune that follows the ChatML template!
## Application
This model uses a context window of 8k. It was trained with the ChatML template.
## Evaluatio... | [
"# dfurman/Llama-3-70B-Orpo-v0.1\n\n![](URL\n\nThis is an ORPO fine-tune of meta-llama/Meta-Llama-3-70B on 2k samples of mlabonne/orpo-dpo-mix-40k.\n\nIt's a successful fine-tune that follows the ChatML template!",
"## Application\n\nThis model uses a context window of 8k. It was trained with the ChatML template... | [
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.03888746351003647
f1: 0.9902689228704281
precision: 0.9881373768296183
recall: 0.9924096848578017
auc: 0.9987762276948453
accuracy: 0.9902677565500875
| {"tags": ["autotrain", "text-classification"], "datasets": ["autotrain-7jijm-bvxud/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | purpleor/autotrain-7jijm-bvxud | null | [
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#transformers #tensorboard #safetensors #deberta-v2 #text-classification #autotrain #dataset-autotrain-7jijm-bvxud/autotrain-data #autotrain_compatible #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.03888746351003647
f1: 0.9902689228704281
precision: 0.9881373768296183
recall: 0.9924096848578017
auc: 0.9987762276948453
accuracy: 0.9902677565500875
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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": []} | skai24/sn9-107 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- License... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilroberta-base-fb-housing-posts
This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilroberta-base", "model-index": [{"name": "distilroberta-base-fb-housing-posts", "results": []}]} | hoaj/distilroberta-base-fb-housing-posts | null | [
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"roberta",
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"license:apache-2.0",
"autotrain_compatible",
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"region:us"
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| distilroberta-base-fb-housing-posts
===================================
This model is a fine-tuned version of distilbert/distilroberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2444
* Accuracy: 0.9358
Model description
-----------------
More information neede... | [
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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": []} | tminh/SeaLLM-7B-v2.5-4bit | 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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- License... | [
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null | transformers |
# MoMonir/Sehty360-llama-3-8b-arabic-health-instruct-GGUF
This model was converted to GGUF format from [`health360/Sehty360-llama-3-8b-arabic-health-instruct`](https://huggingface.co/health360/Sehty360-llama-3-8b-arabic-health-instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggm... | {"language": ["ar"], "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"]} | MoMonir/Sehty360-llama-3-8b-arabic-health-instruct-GGUF | null | [
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|
# MoMonir/Sehty360-llama-3-8b-arabic-health-instruct-GGUF
This model was converted to GGUF format from 'health360/Sehty360-llama-3-8b-arabic-health-instruct' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
### About GGUF (TheBloke Description)
GGUF is a ne... | [
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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-lora-64-no-quant-6k
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo"], "datasets": ["updated", "original"], "base_model": "alignment-handbook/zephyr-7b-sft-full", "model-index": [{"name": "zephyr-7b-lora-64-no-quant-6k", "results": []}]} | YYYYYYibo/zephyr-7b-lora-64-no-quant-6k | null | [
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"license:apache-2.0",
"region:us"
] | null | 2024-04-26T17:16:50+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #mistral #alignment-handbook #generated_from_trainer #trl #dpo #dataset-updated #dataset-original #base_model-alignment-handbook/zephyr-7b-sft-full #license-apache-2.0 #region-us
| zephyr-7b-lora-64-no-quant-6k
=============================
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the updated and the original datasets.
It achieves the following results on the evaluation set:
* Loss: 0.5788
* Rewards/chosen: -0.3940
* Rewards/rejected: -0.7469
* Rewards/ac... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-06\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 32\n* total\\_train\\_batch\\_size: 256\... | [
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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": []} | mahdibaghbanzadeh/seqsight_8192_512_17M_species | null | [
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"text-classification",
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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-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. -->
# karan_sen_sim
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None da... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "karan_sen_sim", "results": []}]} | PawanJain409/karan_sen_sim | null | [
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"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:bert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T17:17:48+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| karan\_sen\_sim
===============
This model is a fine-tuned version of bert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6550
* Accuracy: 0.8827
Model description
-----------------
More information needed
Intended uses & limitations
----------------------... | [
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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": []} | mahdibaghbanzadeh/seqsight_16384_512_22M_species | 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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- License... | [
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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. -->
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
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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
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text-classification | transformers |
# Model Card for Model ID
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text-classification | transformers |
# Model Card for Model ID
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text-classification | transformers |
# Model Card for Model ID
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text-classification | transformers |
# Model Card for Model ID
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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. -->
# group3_non_all_zero_notEqualWeights
This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/mic... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "group3_non_all_zero_notEqualWeights", "results": []}]} | anismahmahi/group3_non_all_zero_notEqualWeights | null | [
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| group3\_non\_all\_zero\_notEqualWeights
=======================================
This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset.
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* Precision: 0.0476
* Recall: 0.2642
* F1: 0.0807
* Accuracy: 0.9145
Model ... | [
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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
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de", "results": []}]} | yukky777/xlm-roberta-base-finetuned-panx-de | null | [
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| xlm-roberta-base-finetuned-panx-de
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1362
* F1: 0.8465
Model description
-----------------
More information needed
Intended uses & l... | [
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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. -->
# roberta-base-fb-housing-posts
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "roberta-base-fb-housing-posts", "results": []}]} | hoaj/roberta-base-fb-housing-posts | null | [
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| roberta-base-fb-housing-posts
=============================
This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2457
* Accuracy: 0.9412
Model description
-----------------
More information needed
Intended uses ... | [
"### 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: 5",
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-160m_mz-131f_IMDB
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggingface.co/Eleuth... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "robust_llm_pythia-160m_mz-131f_IMDB", "results": []}]} | AlignmentResearch/robust_llm_pythia-160m_mz-131f_IMDB | null | [
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|
# robust_llm_pythia-160m_mz-131f_IMDB
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trai... | [
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null | 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. -->
# SQLM-7B
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-I... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "SQLM-7B", "results": []}]} | Sreenath/SQLM-7B | null | [
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
| SQLM-7B
=======
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4677
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More infor... | [
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text-generation | transformers |
# Introduction
MetaAligner-IMHI-13B is part of the <em>MetaAligner</em> project, the first policy-agnostic and generalizable method for multi-objective preference alignment of large
language models. This model is finetuned based on the Meta LLaMA2-13B foundation model and
the dynamic multi-objective dataset built fro... | {"language": ["en"], "license": "mit", "tags": ["Human Preference Alignment", "medical", "mental health"]} | MetaAligner/MetaAligner-IMHI-13B | null | [
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|
# Introduction
MetaAligner-IMHI-13B is part of the <em>MetaAligner</em> project, the first policy-agnostic and generalizable method for multi-objective preference alignment of large
language models. This model is finetuned based on the Meta LLaMA2-13B foundation model and
the dynamic multi-objective dataset built fro... | [
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fill-mask | 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. -->
# bert-base-portuguese-cased-finetuned-RM-6
This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "neuralmind/bert-base-portuguese-cased", "model-index": [{"name": "bert-base-portuguese-cased-finetuned-RM-6", "results": []}]} | ricigl/bert-base-portuguese-cased-finetuned-RM-6 | null | [
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"region:us"
] | null | 2024-04-26T17:26:39+00:00 | [] | [] | TAGS
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| bert-base-portuguese-cased-finetuned-RM-6
=========================================
This model is a fine-tuned version of neuralmind/bert-base-portuguese-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.2595
Model description
-----------------
More information need... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | Dejauxvue/ppo-SnowballTarget | null | [
"ml-agents",
"tensorboard",
"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SnowballTarget",
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] | null | 2024-04-26T17:27:23+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tuto... | [
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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": []} | tariq9mehmood9/Mistral-7B-Instruct-v0.2-PEFT-adapters | null | [
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"arxiv:1910.09700",
"endpoints_compatible",
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** kchopra04
- **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... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | kchopra04/llama3-finetuned-saxs | null | [
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|
# Uploaded model
- Developed by: kchopra04
- License: apache-2.0
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<img src="URL width="200"/>
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text-generation | transformers |
# Keiana-L3-Test5.7-8B-13
Keiana-L3-Test5.7-8B-13 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
# Keep in mind that, this merged model isn't usually tested at the moment, which could benefit in vocabulary error.
* [Kaoe... | {"tags": ["merge", "mergekit", "lazymergekit", "Kaoeiri/Keiana-L3-Test5.2-8B-8", "Undi95/Llama-3-LewdPlay-8B", "Undi95/Llama-3-LewdPlay-8B-evo"], "base_model": ["Kaoeiri/Keiana-L3-Test5.2-8B-8", "Undi95/Llama-3-LewdPlay-8B", "Undi95/Llama-3-LewdPlay-8B-evo"]} | Kaoeiri/Keiana-L3-Test5.7-8B-13 | null | [
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"base_model:Undi95/Llama-3-LewdPlay... | null | 2024-04-26T17:30:03+00:00 | [] | [] | TAGS
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# Keiana-L3-Test5.7-8B-13
Keiana-L3-Test5.7-8B-13 is a merge of the following models using LazyMergekit:
# Keep in mind that, this merged model isn't usually tested at the moment, which could benefit in vocabulary error.
* Kaoeiri/Keiana-L3-Test5.2-8B-8
* Undi95/Llama-3-LewdPlay-8B
* Undi95/Llama-3-LewdPlay-8B-evo
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Cantanese
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small... | {"language": ["yue"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Cantanese", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Au... | poppysmickarlili/whisper-small-cantonese_26-04-2024-1713 | null | [
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"safetensors",
"whisper",
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"base_model:openai/whisper-small",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T17:30:27+00:00 | [] | [
"yue"
] | TAGS
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| Whisper Small Cantanese
=======================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 16.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2760
* Wer: 62.6193
Model description
-----------------
More information needed
Intended uses & limita... | [
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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-chat_10000_500
This model is a fine-tuned version of [unsloth/llama-2-7b-bnb-4bit](https://huggingface.co/unsloth/llama-2... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "unsloth", "generated_from_trainer"], "base_model": "unsloth/llama-2-7b-bnb-4bit", "model-index": [{"name": "llama3-chat_10000_500", "results": []}]} | mob2711/llama3-chat_10000_500 | null | [
"peft",
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"unsloth",
"generated_from_trainer",
"base_model:unsloth/llama-2-7b-bnb-4bit",
"license:apache-2.0",
"region:us"
] | null | 2024-04-26T17:30:41+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #unsloth #generated_from_trainer #base_model-unsloth/llama-2-7b-bnb-4bit #license-apache-2.0 #region-us
| llama3-chat\_10000\_500
=======================
This model is a fine-tuned version of unsloth/llama-2-7b-bnb-4bit on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1126
Model description
-----------------
More information needed
Intended uses & limitations
---------------... | [
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text-to-image | diffusers |
# Juggernaut XL v8 + RunDiffusion Photo v1 Official
## Juggernaut v9 is here! ... | {"language": ["en"], "license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["art", "people", "diffusion", "Cinematic", "Photography", "Landscape", "Interior", "Food", "Car", "Wildlife", "Architecture"], "thumbnail": "https://imagedelivery.net/siANnpeNAc_S2q1M3-eDrA/7e48c6d2-ec31-4d16-784e-c937a3fe670... | trishonc/Juggernaut-XL-v8 | null | [
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"diffusion",
"Cinematic",
"Photography",
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"Interior",
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"en",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionX... | null | 2024-04-26T17:31:20+00:00 | [] | [
"en"
] | TAGS
#diffusers #art #people #diffusion #Cinematic #Photography #Landscape #Interior #Food #Car #Wildlife #Architecture #en #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# Juggernaut XL v8 + RunDiffusion Photo v1 Official
!juggernaut XL photo previews
!RunDiffusion Logo
## Juggernaut v9 is here! Juggernaut v9 + RunDiffusion Photo v2
This model is not permitted to be used behind API services. Please contact juggernaut@URL for business inquires, commercial licensing, custom models, an... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | zandfj/LLaMA2-7B-Chat-dpo-f-042618-moren | null | [
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# GUE_EMP_H3K36me3-seqsight_4096_512_27M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](htt... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H3K36me3-seqsight_4096_512_27M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K36me3-seqsight_4096_512_27M-L32_f | null | [
"peft",
"safetensors",
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_EMP\_H3K36me3-seqsight\_4096\_512\_27M-L32\_f
==================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H3K36me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4556
* F1 Sco... | [
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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. -->
# GUE_mouse_0-seqsight_4096_512_27M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_mouse_0-seqsight_4096_512_27M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_0-seqsight_4096_512_27M-L1_f | null | [
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"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_27M",
"region:us"
] | null | 2024-04-26T17:32:23+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_mouse\_0-seqsight\_4096\_512\_27M-L1\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_mouse\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5433
* F1 Score: 0.7575
* Accu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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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": []} | thorirhrafn/gpt1B_rm_merged | null | [
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#transformers #safetensors #gpt2 #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | 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. -->
# GUE_mouse_0-seqsight_4096_512_27M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_mouse_0-seqsight_4096_512_27M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_0-seqsight_4096_512_27M-L8_f | null | [
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"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_27M",
"region:us"
] | null | 2024-04-26T17:33:39+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_mouse\_0-seqsight\_4096\_512\_27M-L8\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_mouse\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8854
* F1 Score: 0.7349
* Accu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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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. -->
# GUE_mouse_0-seqsight_4096_512_27M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https://... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_mouse_0-seqsight_4096_512_27M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_0-seqsight_4096_512_27M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_mouse\_0-seqsight\_4096\_512\_27M-L32\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_mouse\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5429
* F1 Score: 0.7509
* Ac... | [
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null | transformers |
# Uploaded model
- **Developed by:** berger815
- **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... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | berger815/model | null | [
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|
# Uploaded model
- Developed by: berger815
- 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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token-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# sumukhmg/distilbert-base-uncased-finetuned-ner
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "sumukhmg/distilbert-base-uncased-finetuned-ner", "results": []}]} | sumukhmg/distilbert-base-uncased-finetuned-ner | null | [
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| sumukhmg/distilbert-base-uncased-finetuned-ner
==============================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.1277
* Validation Loss: 0.3655
* Train Precision: 0.5288
* Train... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': {'module': 'keras.optimizers.schedules', 'class\\_name': 'PolynomialDecay', 'config': {'initial\\_learning\\_rate': 2e-05, 'decay\\_steps': 636, 'end\\_learnin... | [
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null | transformers | A single-safetensor version of Google's T5 v1.1 XXL encoder model in bfloat16 precision.
Intended to be used with text to image models such as PixArt.
| {} | city96/t5-v1_1-xxl-encoder-bf16 | null | [
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#transformers #safetensors #t5 #endpoints_compatible #text-generation-inference #region-us
| A single-safetensor version of Google's T5 v1.1 XXL encoder model in bfloat16 precision.
Intended to be used with text to image models such as PixArt.
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text-generation | transformers |
# miqu-evil-dpo
# **Model Details**
## Description
miqu-evil-dpo is fine-tuned model based on miqu, serving as a direct successor to PiVoT-0.1-Evil-a.
It is trained with evil-tune method applied.
<!-- prompt-template start -->
## Prompt template: Mistral Inst
```
<s> [INST] {inst} [... | {"language": ["en"], "license": "other", "tags": ["not-for-all-audiences"], "license_name": "miqu-license", "license_link": "LICENSE", "pipeline_tag": "text-generation"} | blockblockblock/miqu-evil-dpo-bpw3.7-exl2 | null | [
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# miqu-evil-dpo
# Model Details
## Description
miqu-evil-dpo is fine-tuned model based on miqu, serving as a direct successor to PiVoT-0.1-Evil-a.
It is trained with evil-tune method applied.
!image/png
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text-generation | transformers |
## Model Summary
The Phi-3-mini-mango-1-llamafied is an instruct finetune of [Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) with 4K context and 3.8B parameters.
It is a first cut of finetuning Phi-3 (which is a great model!) to explore its properties and behaviour. More to follow.
... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code"], "license_link": "https://huggingface.co/rhysjones/Phi-3-mini-mango-1-llamafied/resolve/main/LICENSE", "pipeline_tag": "text-generation", "widget": [{"messages": [{"role": "user", "content": "Can you provide ways to eat combinations of bananas and dragonfru... | rhysjones/Phi-3-mini-mango-1-llamafied | null | [
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## Model Summary
The Phi-3-mini-mango-1-llamafied is an instruct finetune of Phi-3-mini-4k-instruct with 4K context and 3.8B parameters.
It is a first cut of finetuning Phi-3 (which is a great model!) to explore its properties and behaviour. More to follow.
This version of the model has had its weight layers conver... | [
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text-generation | transformers |
## Exllama v2 Quantizations of starcoder2-3b
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 branch contains ... | {"license": "bigcode-openrail-m", "library_name": "transformers", "tags": ["code"], "datasets": ["bigcode/the-stack-v2-train"], "pipeline_tag": "text-generation", "inference": true, "widget": [{"text": "def print_hello_world():", "example_title": "Hello world", "group": "Python"}], "quantized_by": "bartowski", "model-i... | bartowski/starcoder2-3b-exl2 | null | [
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## Exllama v2 Quantizations of starcoder2-3b
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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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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null | peft |
# 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. -->
# GUE_mouse_1-seqsight_4096_512_27M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_mouse_1-seqsight_4096_512_27M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_1-seqsight_4096_512_27M-L1_f | null | [
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| GUE\_mouse\_1-seqsight\_4096\_512\_27M-L1\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_mouse\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2365
* F1 Score: 0.8943
* Accu... | [
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text-generation | transformers |
## Llama 3 8B 1M
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
This model uses [PoSE](https://huggingface.co/papers/2309.10400) to potentially ext... | {"language": ["en"], "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "axolotl"], "pipeline_tag": "text-generation"} | winglian/llama-3-8b-1m-PoSE | null | [
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"en"
] | TAGS
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| Llama 3 8B 1M
-------------
<img src="URL alt="Built with Axolotl" width="200" height="32"/>
This model uses PoSE to potentially extend Llama's context length from 8k to 1M and beyond @ rope\_theta: 500000.0.
For this model, we build upon the 64k and subsequent 256k model with an additional 225M tokens of continued... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository.\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using t... | [
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"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'll... | [
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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": []} | lmms-lab/llava-mistral-7b-tokenizer | null | [
"transformers",
"llava_mistral",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T17:44:37+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #llava_mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# 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 #llava_mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
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summarization | transformers |
# bart-base-finetuned-xsum-rougel
This model is a optimized version of [Vexemous/bart-base-finetuned-xsum ](https://huggingface.co/Vexemous/bart-base-finetuned-xsum) on the xsum dataset through rouge-L as the reward model with PPOTrainer
## Model Details
### Model Description
<!-- Provide a longer summary of what ... | {"library_name": "transformers", "pipeline_tag": "summarization"} | Vexemous/bart-based-finetuned-xsum-rougel | null | [
"transformers",
"safetensors",
"bart",
"text2text-generation",
"summarization",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T17:44:38+00:00 | [] | [] | TAGS
#transformers #safetensors #bart #text2text-generation #summarization #autotrain_compatible #endpoints_compatible #region-us
|
# bart-base-finetuned-xsum-rougel
This model is a optimized version of Vexemous/bart-base-finetuned-xsum on the xsum dataset through rouge-L as the reward model with PPOTrainer
## Model Details
### Model Description
More information needed
### Model Sources
More information needed
### Framework versions
- T... | [
"# bart-base-finetuned-xsum-rougel\n\nThis model is a optimized version of Vexemous/bart-base-finetuned-xsum on the xsum dataset through rouge-L as the reward model with PPOTrainer",
"## Model Details",
"### Model Description\n\n\n\nMore information needed",
"### Model Sources\n\nMore information needed",
... | [
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"TAGS\n#transformers #safetensors #bart #text2text-generation #summarization #autotrain_compatible #endpoints_compatible #region-us \n# bart-base-finetuned-xsum-rougel\n\nThis model is a optimized version of Vexemous/bart-base-finetuned-xsum on the xsum dataset through rouge-L as the reward model with PPOTrainer##... |
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. -->
# GUE_mouse_1-seqsight_4096_512_27M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_mouse_1-seqsight_4096_512_27M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_1-seqsight_4096_512_27M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_27M",
"region:us"
] | null | 2024-04-26T17:45:07+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_mouse\_1-seqsight\_4096\_512\_27M-L8\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_mouse\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2247
* F1 Score: 0.9027
* Accu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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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. -->
# GUE_mouse_1-seqsight_4096_512_27M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https://... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_mouse_1-seqsight_4096_512_27M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_1-seqsight_4096_512_27M-L32_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_27M",
"region:us"
] | null | 2024-04-26T17:45:13+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_mouse\_1-seqsight\_4096\_512\_27M-L32\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_mouse\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2208
* F1 Score: 0.9057
* Ac... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* o... | [
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