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text-generation | mlx |
# Llama-3-IMPACTS-2x8B-64k-MLX
<img src="https://cdn-uploads.huggingface.co/production/uploads/64740cf7485a7c8e1bd51ac9/y7YKGpr7_Tg9YlhbIscI6.webp" width="500" height="500">
---
**Designed for Advanced Problem-Solving Across Interconnected Domains of Biomimicry, Climate Change, and Astrobiology**
The `Llama-3-IMPA... | {"language": ["en"], "license": "mit", "library_name": "mlx", "tags": ["climate change", "biomimicry", "theoretical astrobiology", "environmental simulations", "predictive modeling", "life origins", "ecological impacts", "sustainable technologies", "cross-disciplinary learning", "artificial intelligence", "machine lear... | Severian/Llama-3-IMPACTS-2x8B-64k-MLX | null | [
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# Llama-3-IMPACTS-2x8B-64k-MLX
<img src="URL width="500" height="500">
---
Designed for Advanced Problem-Solving Across Interconnected Domains of Biomimicry, Climate Change, and Astrobiology
The 'Llama-3-IMPACTS-2x8B-64k-MLX' model is a cutting-edge large language model trained on the I.M.P.A.C.T.S dataset, which ... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
| Tasks |Version|Filter|n-shot| Metric |Value | |Stderr|
|------------|------:|------|-----:|--------|-----:|---|-----:|
|hellaswag_it| 1|none | 0|acc |0.4486|± |0.0052|
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=======================
Model Details
-------------
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | 46an/WaziAi-finetuned-weights | 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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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
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-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | raydium/ppo-Huggy | null | [
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#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
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:
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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": []} | steve1989/flant5xl-finetuned-finance-headlines-sentiment-analysis-bnb4bits | 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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video-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. -->
# vivit-b-16x2-kinetics400-finetuned-temp-original
This model is a fine-tuned version of [google/vivit-b-16x2-kinetics400](https:/... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vivit-b-16x2-kinetics400", "model-index": [{"name": "vivit-b-16x2-kinetics400-finetuned-temp-original", "results": []}]} | kkumtori/vivit-b-16x2-kinetics400-finetuned-temp-original | null | [
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| vivit-b-16x2-kinetics400-finetuned-temp-original
================================================
This model is a fine-tuned version of google/vivit-b-16x2-kinetics400 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1267
* Accuracy: 0.64
Model description
----------------... | [
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null | null | Apakah Varicap?
Varicap Tablet ialah kapsul farmaseutikal yang direka untuk menangani hipertensi, biasanya dikenali sebagai tekanan darah tinggi. Ia mengandungi gabungan unik bahan semulajadi, dirumus dengan teliti untuk mengawal tahap tekanan darah dan menggalakkan kesihatan kardiovaskular.
Laman web rasmi:<a href="... | {"license": "apache-2.0"} | VaricapMalaysia/Varicap | null | [
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| Apakah Varicap?
Varicap Tablet ialah kapsul farmaseutikal yang direka untuk menangani hipertensi, biasanya dikenali sebagai tekanan darah tinggi. Ia mengandungi gabungan unik bahan semulajadi, dirumus dengan teliti untuk mengawal tahap tekanan darah dan menggalakkan kesihatan kardiovaskular.
Laman web rasmi:<a href="... | [] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["llama-factory"]} | Moriacrafter/Gemma-2B_DepressionDetection | 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 |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | mlabonne/Meta-Llama-3-8B | null | [
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| Model Details
-------------
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null | null | <!-- header start -->
<!-- 200823 -->
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<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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#gguf #pruna-ai #region-us
|
[](URL target=)
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL
This repo contains GGUF versions of the MathLLM/MathCoder-CL-7B model.
----------------------------------------------------------------------
Simply make AI models cheaper, smaller, faster, and greener!
============... | [
"### How to load this model in Python code, using llama-cpp-python\n\nFor full documentation, please see: llama-cpp-python docs.",
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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]
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text-generation | transformers | # merged
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 [Shaleen123/llama3-code-8bit](https://huggingface.co/Shaleen123/llama3-cod... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Shaleen123/llama3-code-8bit"]} | Shaleen123/llama3-code-8bit-merged | null | [
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| # merged
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 Shaleen123/llama3-code-8bit as a base.
### Models Merged
The following models were included in the merge:
### Configuration
The following YAML... | [
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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": []} | hoang1123/Llama-2-7b-chat-4bit-gptq | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
IMPORTANT NOTE: This is for ONGOING EXPERIMENTATION and is not meant for reuse.
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
IMPORTANT NOTE: This is for ONGOING EXPERIMENTATION and is not meant for reuse.
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text-generation | transformers |
**Attention! The model is in a training state and this repository contains only a checkpoint for 20 billion tokens.**
# Aeoinum v1 Base 1B
A state-of-the-art language model for Russian language processing.
## Usage
```python
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
tokenizer = AutoT... | {"language": ["ru"], "license": "apache-2.0", "datasets": ["uonlp/CulturaX"], "pipeline_tag": "text-generation"} | aeonium/Aeonium-v1-Base-1.6B-checkpoint-20B | null | [
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|
Attention! The model is in a training state and this repository contains only a checkpoint for 20 billion tokens.
# Aeoinum v1 Base 1B
A state-of-the-art language model for Russian language processing.
## Usage
Output:
## Dataset Detail
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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": []} | steve1989/fingpt_sentiment_fin_headlines_bnb4bits | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# albert_model_02
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/dis... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "albert_model_02", "results": []}]} | KalaiselvanD/albert_model_02 | null | [
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| albert\_model\_02
=================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6010
* Accuracy: 0.7406
Model description
-----------------
More information needed
Intended uses & limitations... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | vaatsav06/Llama3_medmcqa_finetune | null | [
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# Model Card for Model ID
## Model Details
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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-tiny-finetune
This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-tiny.en", "model-index": [{"name": "whisper-tiny-finetune", "results": []}]} | edoyin/whisper-tiny-finetune | null | [
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| whisper-tiny-finetune
=====================
This model is a fine-tuned version of openai/URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5792
* Wer: 20.6820
Model description
-----------------
More information needed
Intended uses & limitations
-------------------... | [
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question-answering | 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. -->
# cancerfarore/albert-base-v2-CancerFarore-Model
This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/al... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "albert/albert-base-v2", "model-index": [{"name": "cancerfarore/albert-base-v2-CancerFarore-Model", "results": []}]} | cancerfarore/albert-base-v2-CancerFarore-Model | null | [
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| cancerfarore/albert-base-v2-CancerFarore-Model
==============================================
This model is a fine-tuned version of albert/albert-base-v2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.7456
* Train End Logits Accuracy: 0.7778
* Train Start Logits Accu... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | yashdkadam/new-train-on-cleaned-dataset | null | [
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# 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. -->
# layoutlm-funsd
This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/la... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["funsd"], "base_model": "microsoft/layoutlm-base-uncased", "model-index": [{"name": "layoutlm-funsd", "results": []}]} | RakhissBouchra/layoutlm-funsd | null | [
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| layoutlm-funsd
==============
This model is a fine-tuned version of microsoft/layoutlm-base-uncased on the funsd dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6573
* Answer: {'precision': 0.7060773480662983, 'recall': 0.7898640296662547, 'f1': 0.7456242707117853, 'number': 809}
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth"]} | ArunIcfoss/instruct_mal_eng_translation | null | [
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## Model Details
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text-generation | transformers |
# LuminariX-8B
LuminariX-8B is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
## 🧩 Configuration
```yaml
models:
- model: Orenguteng/Llama-3-8B-Lexi-Uncensored
- model: Weyaxi/Einstein-v6.1-Llama3-8B
- model: cognitivecomputations/dolphin-2.9-llama3-8b-256k
merge_method:... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit"]} | bunnycore/LuminariX-8B | null | [
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|
# LuminariX-8B
LuminariX-8B is a merge of the following models using mergekit:
## Configuration
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# NDD-petclinic_test-content
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-bas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "NDD-petclinic_test-content", "results": []}]} | lgk03/NDD-petclinic_test-content | null | [
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| NDD-petclinic\_test-content
===========================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1901
* Accuracy: 0.9551
* F1: 0.9518
* Precision: 0.9567
* Recall: 0.9551
Model description
--------------... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** abdulrehmanibk
- **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/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "metrics": ["accuracy"], "base_model": "unsloth/llama-3-8b-bnb-4bit", "pipeline_tag": "text-generation"} | abdulrehmanibk/mpg_project-b | null | [
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|
# Uploaded model
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null | null | <!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
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weighted/imatrix quants of https://huggingface.co/chargoddard/llama-2-16b-nastychat
| {} | mradermacher/llama-2-16b-nastychat-i1-GGUF | null | [
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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. -->
# Poojithpoosa/financial_phrasebankmodel
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/go... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "model-index": [{"name": "Poojithpoosa/financial_phrasebankmodel", "results": []}]} | Poojithpoosa/financial_phrasebankmodel | null | [
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| Poojithpoosa/financial\_phrasebankmodel
=======================================
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.1745
* Validation Loss: 0.0643
* Train Accuracy: 0.9736
* Epoch: 2
Mod... | [
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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": []} | azizksar/mistral-sartex | null | [
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# Model Card for Model ID
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null | null |
# ConfigurableLlama-7B
ConfigurableLlama-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)
* [mlabonne/OrpoLlama-3-8B](https://huggingface.co/m... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["NousResearch/Meta-Llama-3-8B-Instruct", "mlabonne/OrpoLlama-3-8B"]} | automerger/ConfigurableLlama-7B | null | [
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|
# ConfigurableLlama-7B
ConfigurableLlama-7B is an automated merge created by Maxime Labonne using the following configuration.
* NousResearch/Meta-Llama-3-8B-Instruct
* mlabonne/OrpoLlama-3-8B
## Configuration
## 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. -->
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", "pipeline_tag": "text-generation"} | dendimaki/matrix-model | 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:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ef_gpt2_baselinebest_model
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
## ... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "ef_gpt2_baselinebest_model", "results": []}]} | frayline/ef_gpt2_baselinebest_model | null | [
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|
# ef_gpt2_baselinebest_model
This model is a fine-tuned version of gpt2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The f... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/asprenger/Meta-Llama-3-8B-VIGGO
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do n... | {"language": ["en"], "library_name": "transformers", "base_model": "asprenger/Meta-Llama-3-8B-VIGGO", "quantized_by": "mradermacher"} | mradermacher/Meta-Llama-3-8B-VIGGO-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
illuni-llama-2-ko-7b-test - bnb 8bits
- Model creator: https://huggingface.co/julleong/
- Original model: https://huggingfac... | {} | RichardErkhov/julleong_-_illuni-llama-2-ko-7b-test-8bits | null | [
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"llama",
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#transformers #safetensors #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
illuni-llama-2-ko-7b-test - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
language:
- ko
base_model: beomi/llama-2-ko-7b
license: mit
pipeline_tag: question-answering
tags:
- instruct
- instruction
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null | null | <!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
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static quants of https://huggingface.co/jsfs11/TemptressTensor-10.7B-v0.1a
| {} | mradermacher/TemptressTensor-10.7B-v0.1a-GGUF | null | [
"gguf",
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#gguf #region-us
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static quants of URL
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.6593675017356873
f1_macro: 0.6489004767693293
f1_micro: 0.6925925925925925
f1_weighted: 0.6558835632606125
precision_macro: 0.6958400129775946
precision_micro: 0.6925925925925925
precision_weighted: 0.739573234347... | {"tags": ["autotrain", "text-classification"], "datasets": ["v12/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | Zerithas/v12 | null | [
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# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.6593675017356873
f1_macro: 0.6489004767693293
f1_micro: 0.6925925925925925
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precision_macro: 0.6958400129775946
precision_micro: 0.6925925925925925
precision_weighted: 0.739573234347... | [
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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="miansumairjaved/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additi... | {"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": ... | miansumairjaved/q-FrozenLake-v1-4x4-noSlippery | null | [
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"reinforcement-learning",
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
sentence-similarity | sentence-transformers |
# SentenceTransformer based on sentence-transformers/stsb-distilbert-base
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/stsb-distilbert-base](https://huggingface.co/sentence-transformers/stsb-distilbert-base) on the [sentence-transformers/quora-duplicates](htt... | {"language": ["en"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "sentence-similarity", "feature-extraction", "loss:MultipleNegativesRankingLoss"], "metrics": ["cosine_accuracy", "cosine_accuracy_threshold", "cosine_f1", "cosine_f1_threshold", "cosine_precision", "cosine_recall", "cosine_... | tomaarsen/stsb-distilbert-base-mnrl | null | [
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| SentenceTransformer based on sentence-transformers/stsb-distilbert-base
=======================================================================
This is a sentence-transformers model finetuned from sentence-transformers/stsb-distilbert-base on the sentence-transformers/quora-duplicates dataset. It maps sentences & par... | [
"### Model Description\n\n\n* Model Type: Sentence Transformer\n* Base model: sentence-transformers/stsb-distilbert-base\n* Maximum Sequence Length: 128 tokens\n* Output Dimensionality: 768 tokens\n* Similarity Function: Cosine Similarity\n* Training Dataset:\n\t+ sentence-transformers/quora-duplicates\n* Language:... | [
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feature-extraction | transformers | # fine-tuned/car-search-1000-64-16-jinaai_jina-embeddings-v2-small-en-1000-gpt-3.5-_8647177611
## Model Description
fine-tuned/car-search-1000-64-16-jinaai_jina-embeddings-v2-small-en-1000-gpt-3.5-_8647177611 is a fine-tuned version of jinaai/jina-embeddings-v2-small-en designed for a specific domain.
## Use Case
Th... | {} | fine-tuned/car-search-1000-64-16-jinaai_jina-embeddings-v2-small-en-1000-gpt-3.5-_8647177611 | null | [
"transformers",
"safetensors",
"bert",
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#transformers #safetensors #bert #feature-extraction #custom_code #region-us
| # fine-tuned/car-search-1000-64-16-jinaai_jina-embeddings-v2-small-en-1000-gpt-3.5-_8647177611
## Model Description
fine-tuned/car-search-1000-64-16-jinaai_jina-embeddings-v2-small-en-1000-gpt-3.5-_8647177611 is a fine-tuned version of jinaai/jina-embeddings-v2-small-en designed for a specific domain.
## Use Case
Th... | [
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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. -->
# PolizzeDonut-SoloConsignee-5Epochs
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/nave... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "PolizzeDonut-SoloConsignee-5Epochs", "results": []}]} | tedad09/PolizzeDonut-SoloConsignee-5Epochs | null | [
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"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T11:04:18+00:00 | [] | [] | TAGS
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|
# PolizzeDonut-SoloConsignee-5Epochs
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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null | peft |
# 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": "meta-llama/Meta-Llama-3-8B-Instruct"} | sravaniayyagari/lora_model_2 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Gryphe/Tiamat-8b-1.2-Llama-3-DPO
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Tiamat-8... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "Gryphe/Tiamat-8b-1.2-Llama-3-DPO", "quantized_by": "mradermacher"} | mradermacher/Tiamat-8b-1.2-Llama-3-DPO-GGUF | null | [
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#transformers #gguf #en #base_model-Gryphe/Tiamat-8b-1.2-Llama-3-DPO #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
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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="miansumairjaved/taxiV3", 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": "taxiV3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/- 2... | miansumairjaved/taxiV3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-05-02T11:06:01+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
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": []} | ZahidAhmad/phi2 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T11:09:44+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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="haytamelouarrat/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additi... | {"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": ... | haytamelouarrat/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
text-classification | setfit |
# SetFit with sentence-transformers/multi-qa-mpnet-base-cos-v1
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/multi-qa-mpnet-base-cos-v1](https://huggingface.co/sentence-transformers/multi-qa-mpnet-base-cos-v1) as... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "sentence-transformers/multi-qa-mpnet-base-cos-v1", "widget": [{"text": "in durankulak near varna is another important example other signs of early metal... | udrearobert999/multi-qa-mpnet-base-cos-v1-test | null | [
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"model-index",
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| SetFit with sentence-transformers/multi-qa-mpnet-base-cos-v1
============================================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/multi-qa-mpnet-base-cos-v1 as the Sentence Transformer embedding model. A SetFitHead i... | [
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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": []} | miguel-kjh/pythia_1b-adpater-lora-cola | 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:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Undi95/Llama3-Unholy-8B-OAS
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Llama3-Unholy... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["not-for-all-audiences", "nsfw"], "base_model": "Undi95/Llama3-Unholy-8B-OAS", "quantized_by": "mradermacher"} | mradermacher/Llama3-Unholy-8B-OAS-GGUF | null | [
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"en"
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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] |
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. -->
# CNEC2_0_extended_xlm-roberta-large
This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/F... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["cnec"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "FacebookAI/xlm-roberta-large", "model-index": [{"name": "CNEC2_0_extended_xlm-roberta-large", "results": [{"task": {"type": "token-classification", "name": "Token Classificat... | stulcrad/CNEC2_0_extended_xlm-roberta-large | null | [
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| CNEC2\_0\_extended\_xlm-roberta-large
=====================================
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the cnec dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1464
* Precision: 0.8721
* Recall: 0.9002
* F1: 0.8860
* Accuracy: 0.9766
Model des... | [
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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": []} | automated-finetunning/bart_mohit_101 | null | [
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"safetensors",
"bart",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T11:14:58+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bart #text2text-generation #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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- Model type:
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text-classification | 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. -->
# mistral7b-martinmatrix-finetune
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistral... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "pipeline_tag": "text-classification", "model-index": [{"name": "mistral7b-martinmatrix-finetune", "results": []}]} | dendimaki/mistral-checkpoints | null | [
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"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
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#peft #safetensors #generated_from_trainer #text-classification #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
| mistral7b-martinmatrix-finetune
===============================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0002
Model description
-----------------
More information needed
Intended uses & limitations... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/lancartech/LancarAI-v1.0
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show u... | {"language": ["en"], "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "OpenPipe/mistral-ft-optimized-1218", "mlabonne/NeuralHermes-2.5-Mistral-7B"], "base_model": "lancartech/LancarAI-v1.0", "quantized_by": "mradermacher"} | mradermacher/LancarAI-v1.0-GGUF | null | [
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"en",
"base_model:lancartech/LancarAI-v1.0",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T11:16:02+00:00 | [] | [
"en"
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#transformers #gguf #merge #mergekit #lazymergekit #OpenPipe/mistral-ft-optimized-1218 #mlabonne/NeuralHermes-2.5-Mistral-7B #en #base_model-lancartech/LancarAI-v1.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | null |
## Llamacpp imatrix Quantizations of Meta-Llama-3-70B-Instruct
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2777">b2777</a> for quantization.
Original model: https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct
All... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | bartowski/Meta-Llama-3-70B-Instruct-GGUF | null | [
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"en",
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"en"
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#gguf #facebook #meta #pytorch #llama #llama-3 #text-generation #en #license-other #region-us
| Llamacpp imatrix Quantizations of Meta-Llama-3-70B-Instruct
-----------------------------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
All quants made using imatrix option with dataset provided by Kalomaze here
Prompt format
-------------
Download... | [] | [
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null | null | DataVare Address Book Converter is an efficient tool to smartly import and export VCF contacts. This tool is a 100% safe and secure way to import contacts. With the help of this tool, users can quickly import bulk VCF contacts. The advanced application can rapidly export VCF contacts from Excel, MSG, OST, and PST files... | {} | DataVare/Address-Book-Manager-Software | null | [
"region:us"
] | null | 2024-05-02T11:17:25+00:00 | [] | [] | TAGS
#region-us
| DataVare Address Book Converter is an efficient tool to smartly import and export VCF contacts. This tool is a 100% safe and secure way to import contacts. With the help of this tool, users can quickly import bulk VCF contacts. The advanced application can rapidly export VCF contacts from Excel, MSG, OST, and PST files... | [] | [
"TAGS\n#region-us \n"
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-patch16-224-vit
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-b... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224", "model-index": [{"name": "vit-base-patch16-224-vit", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name":... | pk3388/vit-base-patch16-224-vit | null | [
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#transformers #tensorboard #safetensors #vit #image-classification #generated_from_trainer #dataset-imagefolder #base_model-google/vit-base-patch16-224 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| vit-base-patch16-224-vit
========================
This model is a fine-tuned version of google/vit-base-patch16-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6404
* Accuracy: 0.8158
Model description
-----------------
More information needed
Intended uses &... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | stvhuang/rcr-run-5pqr6lwp-90396-master-0_20240402T105012-ep44 | null | [
"transformers",
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"xlm-roberta",
"feature-extraction",
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"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #xlm-roberta #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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="haytamelouarrat/Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False ... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.46 +/- ... | haytamelouarrat/Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-05-02T11:21:02+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
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. -->
# basic_train_basic_test 1000 similar params: per_device_train_batch_size=32, # bylo 16 a pod tim 1 gradient_accumulation_steps=2, ... | {"language": ["multilingual"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "whisper small trained on 5000 en de en", "results": [{"task": {"type... | xbilek25/whisper-small-train-v2.3 | null | [
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===================================================================================================================================================... | [
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null | null | ¿Qué es Huracan impulso tabletas?
Huracan impulso Precio es una cápsula de salud masculina de primera calidad formulada para respaldar los niveles de vitalidad y energía. Su fórmula avanzada combina una mezcla sinérgica de vitaminas, minerales y extractos de hierbas, elegidos específicamente para promover una salud y ... | {"license": "apache-2.0"} | Huracanimpulsotabletas/HuracanimpulsoColombia | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-05-02T11:22:00+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| ¿Qué es Huracan impulso tabletas?
Huracan impulso Precio es una cápsula de salud masculina de primera calidad formulada para respaldar los niveles de vitalidad y energía. Su fórmula avanzada combina una mezcla sinérgica de vitaminas, minerales y extractos de hierbas, elegidos específicamente para promover una salud y ... | [] | [
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.587009608745575
f1_macro: 0.7086614173228346
f1_micro: 0.7435897435897436
f1_weighted: 0.7361195235210982
precision_macro: 0.7210665002427016
precision_micro: 0.7435897435897436
precision_weighted: 0.7538358857008... | {"tags": ["autotrain", "text-classification"], "datasets": ["V13/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | Zerithas/V13 | null | [
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|
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.587009608745575
f1_macro: 0.7086614173228346
f1_micro: 0.7435897435897436
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precision_micro: 0.7435897435897436
precision_weighted: 0.7538358857008... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth"]} | roibouta/lora_model | null | [
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|
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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-classification | setfit |
# SetFit with BAAI/bge-small-en-v1.5
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) as the Sentence Transformer embedding model. A [LogisticRegression](https://scik... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "BAAI/bge-small-en-v1.5", "widget": [{"text": "ADITYA BIRLA\n\n \n\nHINDALCO INDUSTRIES LIMITED\n\n \n\nHIRAKUD POWER, HIRAKUD-768 016, DIST.:SAMBALPUR ... | Gopal2002/NASFUND_MODEL_V1 | null | [
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| SetFit with BAAI/bge-small-en-v1.5
==================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses BAAI/bge-small-en-v1.5 as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.
The model has been trained using... | [
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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": "microsoft/Phi-3-mini-128k-instruct"} | ItsArch3r/Phi3_mini_128k_Gita_Finetune_CKPT | null | [
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"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-microsoft/Phi-3-mini-128k-instruct #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
gemma-7b-it - bnb 4bits
- Model creator: https://huggingface.co/google/
- Original model: https://huggingface.co/google/gemm... | {} | RichardErkhov/google_-_gemma-7b-it-4bits | null | [
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Github
Discord
Request more models
gemma-7b-it - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
library\_name: transformers
tags: []
widget:
* messages:
+ role: user
content: How does the brain work?
in... | [
"### Description\n\n\nGemma is a family of lightweight, state-of-the-art open models from Google,\nbuilt from the same research and technology used to create the Gemini models.\nThey are text-to-text, decoder-only large language models, available in English,\nwith open weights, pre-trained variants, and instruction... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/vicgalle/Configurable-Hermes-2-Pro-Llama-3-8B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time.... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["safety"], "datasets": ["vicgalle/configurable-system-prompt-multitask"], "base_model": "vicgalle/Configurable-Hermes-2-Pro-Llama-3-8B", "quantized_by": "mradermacher"} | mradermacher/Configurable-Hermes-2-Pro-Llama-3-8B-GGUF | null | [
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"gguf",
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"dataset:vicgalle/configurable-system-prompt-multitask",
"base_model:vicgalle/Configurable-Hermes-2-Pro-Llama-3-8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T11:26:28+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #safety #en #dataset-vicgalle/configurable-system-prompt-multitask #base_model-vicgalle/Configurable-Hermes-2-Pro-Llama-3-8B #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #safety #en #dataset-vicgalle/configurable-system-prompt-multitask #base_model-vicgalle/Configurable-Hermes-2-Pro-Llama-3-8B #license-apache-2.0 #endpoints_compatible #region-us \n"
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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-2-sqlGPT-ft-v0.0.1
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unk... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi-2-sqlGPT-ft-v0.0.1", "results": []}]} | AkshayDiwadkar/phi-2-sqlGPT-ft-v0.0.1 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-05-02T11:26:36+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| phi-2-sqlGPT-ft-v0.0.1
======================
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: 0.3112
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Llama-68M-Chat-v1 - bnb 4bits
- Model creator: https://huggingface.co/Felladrin/
- Original model: https://huggingface.co/Fe... | {} | RichardErkhov/Felladrin_-_Llama-68M-Chat-v1-4bits | null | [
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"region:us"
] | null | 2024-05-02T11:26:38+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Llama-68M-Chat-v1 - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language:
* en
license: apache-2.0
tags:
* text-generation
datasets:
* THUDM/webglm-qa
* databricks/dat... | [] | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/athirdpath/Llama-3-11b-Instruct
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do no... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "base_model": "athirdpath/Llama-3-11b-Instruct", "quantized_by": "mradermacher"} | mradermacher/Llama-3-11b-Instruct-GGUF | null | [
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"gguf",
"en",
"base_model:athirdpath/Llama-3-11b-Instruct",
"license:llama3",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T11:27:09+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-athirdpath/Llama-3-11b-Instruct #license-llama3 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #en #base_model-athirdpath/Llama-3-11b-Instruct #license-llama3 #endpoints_compatible #region-us \n"
] | [
44
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] |
text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Llama-68M-Chat-v1 - bnb 8bits
- Model creator: https://huggingface.co/Felladrin/
- Original model: https://huggingface.co/Fe... | {} | RichardErkhov/Felladrin_-_Llama-68M-Chat-v1-8bits | null | [
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"llama",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-05-02T11:27:47+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Llama-68M-Chat-v1 - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language:
* en
license: apache-2.0
tags:
* text-generation
datasets:
* THUDM/webglm-qa
* databricks/dat... | [] | [
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null | transformers |
# NikolayKozloff/Boreas-7B-Q8_0-GGUF
This model was converted to GGUF format from [`yhavinga/Boreas-7B`](https://huggingface.co/yhavinga/Boreas-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://huggingface.co/yhav... | {"library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"]} | NikolayKozloff/Boreas-7B-Q8_0-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T11:28:38+00:00 | [] | [] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #endpoints_compatible #region-us
|
# NikolayKozloff/Boreas-7B-Q8_0-GGUF
This model was converted to GGUF format from 'yhavinga/Boreas-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:
Note: You... | [
"# NikolayKozloff/Boreas-7B-Q8_0-GGUF\nThis model was converted to GGUF format from 'yhavinga/Boreas-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n\n... | [
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"# NikolayKozloff/Boreas-7B-Q8_0-GGUF\nThis model was converted to GGUF format from 'yhavinga/Boreas-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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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Llama-68M-Chat-v1 - GGUF
- Model creator: https://huggingface.co/Felladrin/
- Original model: https://huggingface.co/Felladr... | {} | RichardErkhov/Felladrin_-_Llama-68M-Chat-v1-gguf | null | [
"gguf",
"region:us"
] | null | 2024-05-02T11:28:41+00:00 | [] | [] | TAGS
#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Llama-68M-Chat-v1 - GGUF
* Model creator: URL
* Original model: URL
Name: Llama-68M-Chat-v1.Q2\_K.gguf, Quant method: Q2\_K, Size: 0.03GB
Name: Llama-68M-Chat-v1.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 0.04GB
Name: Llama-68M-Chat-v1.... | [] | [
"TAGS\n#gguf #region-us \n"
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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": "BramVanroy/fietje-2b-chat"} | HansvDam/fietje-2b-chat-sr-system-do-adapters | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:BramVanroy/fietje-2b-chat",
"region:us"
] | null | 2024-05-02T11:29:08+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-BramVanroy/fietje-2b-chat #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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null | null |
Please refer to https://github.com/VamosC/CLIP4STR for the usage of the models. | {"language": ["en"], "license": "apache-2.0"} | mzhaoshuai/CLIP4STR | null | [
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"license:apache-2.0",
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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": []} | HansvDam/fietje-2b-chat-sr-system-do | null | [
"transformers",
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"text-generation",
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-02T11:29:39+00:00 | [
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#transformers #safetensors #phi #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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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": []} | Chetansk/gemma-Code-Instruct-Finetune-test-01 | 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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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": []} | miguel-kjh/pythia_14m-adpater-lora-cola | null | [
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"region:us"
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#transformers #safetensors #gpt_neox #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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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": []} | miguel-kjh/pythia_70m-adpater-lora-cola | 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 |
# hermesoptimesd-7B-slerp
hermesoptimesd-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [OpenPipe/mistral-ft-optimized-1218](https://huggingface.co/OpenPipe/mistral-ft-optimized-1218)
* [mlabonne/NeuralHermes-2... | {"tags": ["merge", "mergekit", "lazymergekit", "OpenPipe/mistral-ft-optimized-1218", "mlabonne/NeuralHermes-2.5-Mistral-7B"], "base_model": ["OpenPipe/mistral-ft-optimized-1218", "mlabonne/NeuralHermes-2.5-Mistral-7B"]} | tanyakansal/hermesoptimesd-7B-slerp | null | [
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"base_model:mlabonne/NeuralHermes-2.5-Mistral-7B",
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# hermesoptimesd-7B-slerp
hermesoptimesd-7B-slerp is a merge of the following models using LazyMergekit:
* OpenPipe/mistral-ft-optimized-1218
* mlabonne/NeuralHermes-2.5-Mistral-7B
## Configuration
## Usage
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | baraah/blip2-opt-2.7b-with-metrices-2-5 | 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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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | tmparticle/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
feature-extraction | transformers |
# Model Card for Model ID
AidaCoder is a fine-tuned generative text models based on Code Llama 7b model built for testing purposes.
## Model Details
### Model Description
Model capabilities:
Code completion.
Infilling.
Instructions / chat.
This is the model card of a 🤗 transformers model that has been pushe... | {"library_name": "transformers", "tags": []} | kantobro/aidacoder | null | [
"transformers",
"safetensors",
"llama",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-02T11:33:31+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #feature-extraction #arxiv-1910.09700 #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
AidaCoder is a fine-tuned generative text models based on Code Llama 7b model built for testing purposes.
## Model Details
### Model Description
Model capabilities:
Code completion.
Infilling.
Instructions / chat.
This is the model card of a transformers model that has been pushed ... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** hakankenar
- **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/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | hakankenar/llama-3-8b-bnb-4bit-finetune-test | null | [
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|
# Uploaded model
- Developed by: hakankenar
- 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": []} | miguel-kjh/pythia_160m-adpater-lora-cola | null | [
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"safetensors",
"gpt_neox",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-02T11:33:51+00:00 | [
"1910.09700"
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#transformers #safetensors #gpt_neox #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | 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": "meta-llama/Meta-Llama-3-70B-Instruct"} | asbabiy/AspectLens-BA-Large-DPO | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
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"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-meta-llama/Meta-Llama-3-70B-Instruct #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shtapm/whisper-large_0502_decoder0_200steps | null | [
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"automatic-speech-recognition",
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"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #whisper #automatic-speech-recognition #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | AvizvaSolutions/phi-sftVersion-1 | 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:
- Language(s) (NLP):
- License... | [
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"## Model Details",
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text-classification | transformers | This language model is designed to assess the attitude expressed in texts about **climate change**.
It categorizes the attitude into three types: risk, neutral, and opportunity.
These categories correspond to the negative, neutral, and positive classifications commonly used in sentiment analysis.
We employed a fine-t... | {"license": "apache-2.0"} | Kevintu/climate-attitude-LM | null | [
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"roberta",
"text-classification",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #pytorch #roberta #text-classification #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| This language model is designed to assess the attitude expressed in texts about climate change.
It categorizes the attitude into three types: risk, neutral, and opportunity.
These categories correspond to the negative, neutral, and positive classifications commonly used in sentiment analysis.
We employed a fine-tunin... | [] | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/aerdincdal/CBDDO-LLM-8B-Instruct-v1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they d... | {"language": ["en"], "license": "mit", "library_name": "transformers", "datasets": ["aerdincdal/CBDDO-LLM-DB-V1"], "base_model": "aerdincdal/CBDDO-LLM-8B-Instruct-v1", "quantized_by": "mradermacher"} | mradermacher/CBDDO-LLM-8B-Instruct-v1-GGUF | null | [
"transformers",
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"base_model:aerdincdal/CBDDO-LLM-8B-Instruct-v1",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T11:37:44+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #dataset-aerdincdal/CBDDO-LLM-DB-V1 #base_model-aerdincdal/CBDDO-LLM-8B-Instruct-v1 #license-mit #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | transformers |
# 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": []} | miguel-kjh/pythia_410m-adpater-lora-cola | null | [
"transformers",
"safetensors",
"gpt_neox",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-02T11:37:58+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gpt_neox #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# 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)... | [
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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. -->
# virus_pythia_31_1024_cross_entropy
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://huggingface.co/Eleuther... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "virus_pythia_31_1024_cross_entropy", "results": []}]} | Hack90/virus_pythia_31_1024_cross_entropy | null | [
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"safetensors",
"gpt_neox",
"text-generation",
"generated_from_trainer",
"base_model:EleutherAI/pythia-31m",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-02T11:38:38+00:00 | [] | [] | TAGS
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|
# virus_pythia_31_1024_cross_entropy
This model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
"# virus_pythia_31_1024_cross_entropy\n\nThis model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore 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": "deepseek-ai/deepseek-coder-6.7b-base"} | JVictor-CC/deepseek-coder-6.7b-base-2.0 | null | [
"peft",
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"base_model:deepseek-ai/deepseek-coder-6.7b-base",
"region:us"
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"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-deepseek-ai/deepseek-coder-6.7b-base #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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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": []} | Jaafer/code-search-net-tokenizer | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T11:41:50+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #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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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hfhfix -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermach... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "base_model": "NousResearch/Meta-Llama-3-8B-Instruct", "extra_gated_button_content": "Submit", "extra_gated_fields": {"Affiliation": "text", "By clicking Submit below I accept the terms ... | mradermacher/Meta-Llama-3-8B-Instruct-GGUF | null | [
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"license:other",
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"region:us"
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"en"
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#transformers #gguf #facebook #meta #pytorch #llama #llama-3 #en #base_model-NousResearch/Meta-Llama-3-8B-Instruct #license-other #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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] |
null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hfhfix -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/rinna/llama-3-youko-8b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sh... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "datasets": ["mc4", "wikipedia", "EleutherAI/pile", "oscar-corpus/colossal-oscar-1.0", "cc100"], "base_model": "rinna/llama-3-youko-8b", "quantized_by": "mradermacher"} | mradermacher/llama-3-youko-8b-GGUF | null | [
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"en"
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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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] | [
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] |
text-generation | null | 
The idea is the same as [InfinityRP v1](https://huggingface.co/Endevor/InfinityRP-v1-7B), but this one is Llama 3 with 16k ctx! Have fun...
### Prompt format: Alpaca.
``"You are now in roleplay chat mode. Engage in an endless chat, always with a creative response. Follo... | {"language": ["en"], "license": "apache-2.0", "tags": ["gguf", "llama", "not-for-all-audiences", "nsfw", "rp", "roleplay"], "pipeline_tag": "text-generation"} | Endevor/InfinityRP-v2-8B-GGUF | null | [
"gguf",
"llama",
"not-for-all-audiences",
"nsfw",
"rp",
"roleplay",
"text-generation",
"en",
"license:apache-2.0",
"region:us"
] | null | 2024-05-02T11:44:11+00:00 | [] | [
"en"
] | TAGS
#gguf #llama #not-for-all-audiences #nsfw #rp #roleplay #text-generation #en #license-apache-2.0 #region-us
| !example
The idea is the same as InfinityRP v1, but this one is Llama 3 with 16k ctx! Have fun...
### Prompt format: Alpaca.
''"You are now in roleplay chat mode. Engage in an endless chat, always with a creative response. Follow lengths very precisely and create paragraphs accurately. Always wait your turn, next act... | [
"### Prompt format: Alpaca.\n''\"You are now in roleplay chat mode. Engage in an endless chat, always with a creative response. Follow lengths very precisely and create paragraphs accurately. Always wait your turn, next actions and responses. Your internal thoughts are wrapped with ' marks.\"''\n\nUser Message Pref... | [
"TAGS\n#gguf #llama #not-for-all-audiences #nsfw #rp #roleplay #text-generation #en #license-apache-2.0 #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": []} | miguel-kjh/pythia_14m-adpater-lora-dbpedia | 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 | # llama-3-wissenschaft-8B
This model is based on Llama-3-8b, and is governed by [META LLAMA 3 COMMUNITY LICENSE AGREEMENT](LICENSE)
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 [Model Sto... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct", "DeepMount00/Llama-3-8b-Ita", "mlabonne/ChimeraLlama-3-8B-v3", "nbeerbower/llama-3-slerp-kraut-dragon-8B"], "license_name": "llama3"} | nbeerbower/llama-3-wissenschaft-8B | null | [
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This model is based on Llama-3-8b, and is governed by META LLAMA 3 COMMUNITY LICENSE AGREEMENT
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the Model Stock merge method using nbeerbower/llama-3-slerp-kr... | [
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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": []} | miguel-kjh/pythia_70m-adpater-lora-dbpedia | null | [
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"1910.09700"
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#transformers #safetensors #gpt_neox #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | null | # [MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.4-GGUF](https://huggingface.co/MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.4-GGUF)
- Model creator: [MaziyarPanahi](https://huggingface.co/MaziyarPanahi)
- Original model: [MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.4](https://huggingface.co/MaziyarPanahi/Llama-3-70B-Instruct-D... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "text-generation", "llama", "llama-3", "text-generation"], "model_name": "Llama-3-70B-Instruct-DPO-v0.4-GGUF", "base_model": "MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.4", "inference": false, "model_creator": "MaziyarPanahi", "pipeline... | MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.4-GGUF | null | [
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| # MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.4-GGUF
- Model creator: MaziyarPanahi
- Original model: MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.4
## Description
MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.4-GGUF contains GGUF format model files for MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.4.
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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": []} | miguel-kjh/pythia_160m-adpater-lora-dbpedia | null | [
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"1910.09700"
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#transformers #safetensors #gpt_neox #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
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