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image-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | anonauthors/fgvc_aircraft-swinT | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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image-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | anonauthors/food101-swinT | null | [
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text-generation | transformers |
# tinyllama-proteinpretrain-quinoa
Full model finetuning of TinyLLaMA-1.1B on the "research" split (quinoa
protein sequences) of GreenBeing-Proteins dataset.
Notes: pretraining only on sequences leads the model to only generate protein sequences, eventually repeating VVVV ot KKKK.
- This model may be replaced with ... | {"language": ["en"], "license": "apache-2.0", "datasets": ["cerebras/SlimPajama-627B", "bigcode/starcoderdata", "monsoon-nlp/greenbeing-proteins"], "base_model": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T"} | monsoon-nlp/tinyllama-proteinpretrain-quinoa | null | [
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# tinyllama-proteinpretrain-quinoa
Full model finetuning of TinyLLaMA-1.1B on the "research" split (quinoa
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text-classification | setfit |
# SetFit with facebook/bart-large-mnli
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli) as the Sentence Transformer embedding model. A [LogisticRegression](https:... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "widget": [], "pipeline_tag": "text-classification", "inference": true, "base_model": "facebook/bart-large-mnli"} | gmenchetti/bart-large-mnli-empathy-tuned | null | [
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# SetFit with facebook/bart-large-mnli
This is a SetFit model that can be used for Text Classification. This SetFit model uses facebook/bart-large-mnli as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.
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text-generation | transformers |
# Uploaded model
- **Developed by:** wiselychung
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | wiselychung/M7B_0404 | null | [
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# Uploaded model
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# RoBERTa-large-PM-M3-Voc-hf-finetuned-ner
This model was trained from scratch on an unknown dataset.
It achieves the following re... | {"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "RoBERTa-large-PM-M3-Voc-hf-finetuned-ner", "results": []}]} | zakariyafirachine/RoBERTa-large-PM-M3-Voc-hf-finetuned-ner | null | [
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| RoBERTa-large-PM-M3-Voc-hf-finetuned-ner
========================================
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5400
* Precision: 0.2202
* Recall: 0.0176
* F1: 0.0325
* Accuracy: 0.6347
Model description
--------------... | [
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null | peft |
# Model Card for Model ID
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text-generation | transformers | <!-- header start -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/dumb_ai1 | null | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Ppoyaa/StarMonarch-7B
<!-- provided-files -->
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. F... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": "Ppoyaa/StarMonarch-7B", "quantized_by": "mradermacher"} | mradermacher/StarMonarch-7B-GGUF | null | [
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-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
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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": []} | 0x0uncle0/uncle27 | null | [
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## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | gaodrew/Nox_1_merged | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | xilpam/v_1_layoutlm-funsd-tf | null | [
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"arxiv:1910.09700",
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"1910.09700"
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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audio-to-audio | null | # RVC-models
This repository contains a Retrieval-based Voice Conversion (RVC) model trained on a dataset of Persian singers. The model aims to convert speech from one voice to another, allowing for the creation of new vocal performances or the transformation of existing recordings.
## Model Description
The RVC mode... | {"language": ["fa", "en"], "license": "apache-2.0", "tags": ["music"], "pipeline_tag": "audio-to-audio"} | PersianSingers/RVC-models | null | [
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| # RVC-models
This repository contains a Retrieval-based Voice Conversion (RVC) model trained on a dataset of Persian singers. The model aims to convert speech from one voice to another, allowing for the creation of new vocal performances or the transformation of existing recordings.
## Model Description
The RVC mode... | [
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text-classification | transformers |
## Model Description
This model predicts receptor classes, identified by their PDB IDs, from peptide sequences using the [ESM2](https://huggingface.co/docs/transformers/model_doc/esm) (Evolutionary Scale Modeling) protein language model with esm2_t12_35M_UR50D pre-trained weights. The model is fine-tuned for recep... | {"language": "en", "license": "apache-2.0", "tags": ["transformers", "protein", "peptide-receptor"], "datasets": ["custom"]} | littleworth/esm2_t12_35M_UR50D_pep2rec_cppp | null | [
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#transformers #joblib #safetensors #esm #text-classification #protein #peptide-receptor #en #dataset-custom #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
## Model Description
This model predicts receptor classes, identified by their PDB IDs, from peptide sequences using the ESM2 (Evolutionary Scale Modeling) protein language model with esm2_t12_35M_UR50D pre-trained weights. The model is fine-tuned for receptor prediction using datasets from PROPEDIA and PepNN, as ... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-base-squad2-finetuned-BioASQ-ds
This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.... | {"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "base_model": "deepset/roberta-base-squad2", "model-index": [{"name": "roberta-base-squad2-finetuned-BioASQ-ds", "results": []}]} | ngchuchi/roberta-base-squad2-finetuned-BioASQ-ds | null | [
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| roberta-base-squad2-finetuned-BioASQ-ds
=======================================
This model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7899
Model description
-----------------
More information needed
Intended us... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
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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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![Twitter](URL
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/DeyangKong/Qwen1.5-7B-Translator
<!-- provided-files -->
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 ... | {"language": ["en"], "license": "gpl-3.0", "library_name": "transformers", "base_model": "DeyangKong/Qwen1.5-7B-Translator", "quantized_by": "mradermacher"} | mradermacher/Qwen1.5-7B-Translator-GGUF | null | [
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| About
-----
static quants of URL
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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", "tags": []} | MRAIRR/salmon_kakao_glot_ko_12.8b | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/pharaouk/Eurus-RM-7b
<!-- provided-files -->
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
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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. -->
# deepseek-coder-1.3b-instruct_max_steps_2000__max_seq_len_6302_finetuned
This model is a fine-tuned version of [deepseek-ai/deeps... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "deepseek-ai/deepseek-coder-1.3b-instruct", "model-index": [{"name": "deepseek-coder-1.3b-instruct_max_steps_2000__max_seq_len_6302_finetuned", "results": []}]} | vdavidr/deepseek-coder-1.3b-instruct_max_steps_2000__max_seq_len_6302_finetuned | null | [
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|
# deepseek-coder-1.3b-instruct_max_steps_2000__max_seq_len_6302_finetuned
This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-instruct on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
Mo... | [
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"## Model description\n\nMore information needed",
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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text-generation | transformers |
# TinyLlama-1.1B-chat-dare-v1
TinyLlama-1.1B-chat-dare-v1 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0)
* [l3utterfly/tinyllama-1.1b-layla-v1](https://huggingface.co/l3utterfly/t... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "TinyLlama/TinyLlama-1.1B-Chat-v1.0", "l3utterfly/tinyllama-1.1b-layla-v1"]} | abuelnasr/TinyLlama-1.1B-chat-dare-v1 | null | [
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|
# TinyLlama-1.1B-chat-dare-v1
TinyLlama-1.1B-chat-dare-v1 is a merge of the following models using mergekit:
* TinyLlama/TinyLlama-1.1B-Chat-v1.0
* l3utterfly/tinyllama-1.1b-layla-v1
## Configuration
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text-generation | transformers |
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
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![Twitter](URL
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/dawn17/StarlingMaid-2x7B-base
<!-- provided-files -->
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... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "dawn17/StarlingMaid-2x7B-base", "quantized_by": "mradermacher"} | mradermacher/StarlingMaid-2x7B-base-GGUF | null | [
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#transformers #gguf #en #base_model-dawn17/StarlingMaid-2x7B-base #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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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. -->
# test_L1_sent_generator
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "test_L1_sent_generator", "results": []}]} | Zlovoblachko/test_L1_sent_generator | null | [
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| test\_L1\_sent\_generator
=========================
This model is a fine-tuned version of distilgpt2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.7768
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/abhishekchohan-mistral-7B-forest-dpo-bnb-8bit-smashed | null | [
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#transformers #safetensors #mistral #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "OpenBuddy/openbuddy-mistral-7b-v13.1", "model-index": [{"name": "qlora-out", "results": []}]} | strongorange/openbuddy-mistral-7b-v13.1 | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
qlora-out
=========
This model is a fine-tuned version of OpenBuddy/openbuddy-mistral-7b-v13.1 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5195
Model des... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "pipeline_tag": "text-generation"} | SorryJotaro/mistral-apr3 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Uploaded model
- **Developed by:** cvzion
- **License:** apache-2.0
- **Finetuned from model :** TinyLlama/TinyLlama-1.1B-Chat-v1.0
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/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | cvzion/gguf-TINYLLAMA-dqg-v3a-q8_0 | null | [
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# Uploaded model
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/Undi95/Miqu-MS-70B
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Miqu-MS-70B-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "Undi95/Miqu-MS-70B", "quantized_by": "mradermacher"} | mradermacher/Miqu-MS-70B-i1-GGUF | null | [
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#transformers #gguf #mergekit #merge #en #base_model-Undi95/Miqu-MS-70B #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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] |
text-generation | transformers |
Buy me a coffee, help pretrain this model 😄
<a href="https://www.buymeacoffee.com/isotonic"><img src="https://www.buymeacoffee.com/assets/img/guidelines/download-assets-sm-1.svg" alt=""></a>
# This model has not been pretrained
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### M... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["jamba", "mamba", "moe"], "pipeline_tag": "text-generation"} | Isotonic/MiniJamba-670M | null | [
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|
Buy me a coffee, help pretrain this model
<a href="URL src="URL alt=""></a>
# This model has not been pretrained
## 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 | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/stanford-crfm-alias-gpt2-small-x21-bnb-4bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
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text-generation | transformers |
🌟 Buying me coffee is a direct way to show support for this project.
<a href="https://www.buymeacoffee.com/isotonic"><img src="https://www.buymeacoffee.com/assets/img/guidelines/download-assets-sm-1.svg" alt=""></a>
# This model has not been pretrained
<!-- Provide a quick summary of what the model is/does. -->
... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["jamba", "mamba", "moe"], "pipeline_tag": "text-generation"} | Isotonic/NanoJamba-220M | null | [
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"1910.09700"
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|
Buying me coffee is a direct way to show support for this project.
<a href="URL src="URL alt=""></a>
# This model has not been pretrained
## 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 | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/elyza-ELYZA-japanese-Llama-2-7b-fast-instruct-bnb-8bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/bigcode-gpt_bigcode-santacoder-bnb-8bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
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text-generation | transformers |
# seldonium-2x7b-MoE-v0.1
seldonium-2x7b-MoE-v0.1-coder-logic is a Mixture of Experts (MoE) model that combines the capabilities of two specialized language models:
Locutusque/Hercules-4.0-Mistral-v0.2-7B: A 7B parameter model focused on programming tasks, such as writing functions, implementing algorithms, and work... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "Locutusque/Hercules-4.0-Mistral-v0.2-7B", "Open-Orca/Mistral-7B-OpenOrca"], "base_model": ["Locutusque/Hercules-4.0-Mistral-v0.2-7B", "Open-Orca/Mistral-7B-OpenOrca"]} | jomangbp/seldonium-2x7b-MoE-v0.1 | null | [
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"safetensors",
"mixtral",
"text-generation",
"moe",
"frankenmoe",
"merge",
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"conversational",
"base_model:Locutusque/Hercules-4.0-Mistral-v0.2-7B",
"base_model:Open-Orca/M... | null | 2024-04-04T01:13:31+00:00 | [] | [] | TAGS
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# seldonium-2x7b-MoE-v0.1
seldonium-2x7b-MoE-v0.1-coder-logic is a Mixture of Experts (MoE) model that combines the capabilities of two specialized language models:
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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": "mistralai/Mistral-7B-Instruct-v0.1"} | mindsurf/Mistral-7B-v0.1-small-10 | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:mistralai/Mistral-7B-Instruct-v0.1",
"region:us"
] | null | 2024-04-04T01:13:38+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-Instruct-v0.1 #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 | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/IkariDev/Athena-v4
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Athena-v4-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
R... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "base_model": "IkariDev/Athena-v4", "quantized_by": "mradermacher"} | mradermacher/Athena-v4-i1-GGUF | null | [
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"en",
"base_model:IkariDev/Athena-v4",
"license:cc-by-nc-4.0",
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"en"
] | TAGS
#transformers #gguf #en #base_model-IkariDev/Athena-v4 #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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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... | anologicon/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-04T01:14:57+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/rinna-japanese-gpt2-small-bnb-4bit-smashed | null | [
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"safetensors",
"gpt2",
"text-generation",
"pruna-ai",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-04T01:18:34+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
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![Twitter](URL
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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": []} | clam004/microsoft-phi-1_5 | null | [
"transformers",
"safetensors",
"phi",
"text-generation",
"custom_code",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #phi #text-generation #custom_code #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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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": []} | kssumanth6/t5-small-facts | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | This is the trained TTS model from MeloTTS with VTSK dataset.
ID of the first target speaker is p225. | {} | Xrunner/melotts | null | [
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null | transformers | ## About
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static quants of https://huggingface.co/AiMavenAi/AiMaven-Prometheus
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static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
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text-generation | transformers | <!-- header start -->
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<div style="width: auto; margin-left: auto; margin-right: auto">
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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": []} | Jordanzobean123/eraine | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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![Twitter](URL
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mistral-7B-Instruct-v0.2_max_steps_2000__max_seq_len_6302_finetuned
This model is a fine-tuned version of [mistralai/Mistral-7B-... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-7B-Instruct-v0.2_max_steps_2000__max_seq_len_6302_finetuned", "results": []}]} | vdavidr/Mistral-7B-Instruct-v0.2_max_steps_2000__max_seq_len_6302_finetuned | null | [
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|
# Mistral-7B-Instruct-v0.2_max_steps_2000__max_seq_len_6302_finetuned
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informa... | [
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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": []} | AL12dw/kirb_bot-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.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# code-llama-7b-text-to-sql
This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/Cod... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "codellama/CodeLlama-7b-hf", "model-index": [{"name": "code-llama-7b-text-to-sql", "results": []}]} | vickarrious/code-llama-7b-text-to-sql | null | [
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More information needed
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More information needed
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sentence-similarity | sentence-transformers |
# srmishra/biencoder-finetune-model-v3
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this ... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | srmishra/biencoder-finetune-model-v3 | null | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
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text-generation | transformers |
### exl2 quant (measurement.json included)
---
### original readme below
---
# Miqu-MS-70B
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
The new MODEL STOCK merge method was used, see below for more information!
Feedback on this model is greatly apprec... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["migtissera/Tess-70B-v1.6", "152334H/miqu-1-70b-sf", "NeverSleep/MiquMaid-v2-70B", "sophosympatheia/Midnight-Miqu-70B-v1.0"]} | lucyknada/Undi95-Miqu-MS-70B-EXL2-5.0bpw | null | [
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### exl2 quant (URL included)
---
### original readme below
---
# Miqu-MS-70B
This is a merge of pre-trained language models created using mergekit.
The new MODEL STOCK merge method was used, see below for more information!
Feedback on this model is greatly appreciated! I hope this new merge method will be able t... | [
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text-to-image | diffusers | Model info:
https://civitai.com/models/22402?modelVersionId=192339 | {"license": "other", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers"], "inference": true} | digiplay/fantasticmix_k1 | null | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | SungJinD/ppo-SnowballTarget | null | [
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|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tuto... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/openaccess-ai-collective-tiny-mistral-bnb-8bit-smashed | null | [
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<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/Open-Orca-Mistral-7B-SlimOrca-bnb-4bit-smashed | null | [
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<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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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. -->
# Output_LayoutLMv3_v3
This model is a fine-tuned version of [microsoft/layoutlmv3-large](https://huggingface.co/microsoft/layoutl... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/layoutlmv3-large", "model-index": [{"name": "Output_LayoutLMv3_v3", "results": []}]} | Noureddinesa/Output_LayoutLMv3_v3 | null | [
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| Output\_LayoutLMv3\_v3
======================
This model is a fine-tuned version of microsoft/layoutlmv3-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1344
* Precision: 0.7699
* Recall: 0.8142
* F1: 0.7914
* Accuracy: 0.9695
Model description
-----------------
M... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-07\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 2\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 3000",
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/stanford-crfm-alias-gpt2-small-x21-bnb-8bit-smashed | null | [
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] | null | 2024-04-04T01:42:52+00:00 | [] | [] | TAGS
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5_base_ft_uncleanedCombinedSub
This model is a fine-tuned version of [google-t5/t5-large](https://huggingface.co/google-t5/t5-l... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google-t5/t5-large", "model-index": [{"name": "t5_large_ft_uncleanedCombinedSub", "results": []}]} | lkh9908/t5_large_ft_uncleanedCombinedSub | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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| t5\_base\_ft\_uncleanedCombinedSub
==================================
This model is a fine-tuned version of google-t5/t5-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8828
* Rouge1: 43.0095
* Rouge2: 16.9741
* Rougel: 31.3792
* Rougelsum: 39.9473
* Gen Len: 91.6960
... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/stable_boy_upgrade1 | 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 | 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. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "home/yujia/home/CN_Hateful/trained_models/mistral/CN/toxi/3e-5/", "results": []}]} | yujia23/axolotl-mistral-cn-3e-5-lora | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
home/yujia/home/CN\_Hateful/trained\_models/mistral/CN/toxi/3e-5/
=================================================================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on th... | [
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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null | transformers |
# Uploaded model
- **Developed by:** TheHappyDrone
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/tinyllama-bnb-4bit"} | TheHappyDrone/Uoxudo | null | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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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-medium-v1
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on... | {"language": ["ru"], "license": "apache-2.0", "tags": ["FS_phone_calls", "generated_from_trainer"], "datasets": ["FS-phone-calls"], "metrics": ["wer"], "base_model": "openai/whisper-medium", "model-index": [{"name": "whisper-medium-v1", "results": []}]} | everypidigit/whisper-medium-initial | null | [
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| whisper-medium-v1
=================
This model is a fine-tuned version of openai/whisper-medium on the FS\_phone\_calls dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2038
* Wer: 0.1553
Model description
-----------------
More information needed
Intended uses & limitations
-------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-06\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 2\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps: ... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/HooshvareLab-gpt2-fa-bnb-8bit-smashed | null | [
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<div style="width: auto; margin-left: auto; margin-right: auto">
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![Twitter](URL
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# FFPP-Raw_1FPS_faces-expand-40-aligned_0Real-1Fake
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224]... | {"tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy", "recall", "precision", "f1"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "FFPP-Raw_1FPS_faces-expand-40-aligned_0Real-1Fake", "results": [{"task": {"type": "image-classification", "name": "Ima... | hchcsuim/FFPP-Raw_1FPS_faces-expand-40-aligned_0Real-1Fake | null | [
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| FFPP-Raw\_1FPS\_faces-expand-40-aligned\_0Real-1Fake
====================================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0514
* Accuracy: 0.9808
* Recall: 0.99... | [
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text-generation | transformers |
# MixtureofMerges-MoE-2x7b-SLERPv0.9
MixtureofMerges-MoE-2x7b-SLERPv0.9 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [jsfs11/MixtureofMerges-MoE-2x7b-v7](https://huggingface.co/jsfs11/MixtureofMerges-MoE-2x7b-v7)
* [j... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "jsfs11/MixtureofMerges-MoE-2x7b-v7", "jsfs11/MixtureofMerges-MoE-2x7bRP-v8"], "base_model": ["jsfs11/MixtureofMerges-MoE-2x7b-v7", "jsfs11/MixtureofMerges-MoE-2x7bRP-v8"], "model-index": [{"name": "MixtureofMerges-MoE-2x7b-SLERPv0.9", "results": [... | jsfs11/MixtureofMerges-MoE-2x7b-SLERPv0.9 | null | [
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==================================
MixtureofMerges-MoE-2x7b-SLERPv0.9 is a merge of the following models using LazyMergekit:
* jsfs11/MixtureofMerges-MoE-2x7b-v7
* jsfs11/MixtureofMerges-MoE-2x7bRP-v8
Configuration
-------------
Usage
-----
Open LLM Leaderboard Evaluation Re... | [] | [
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sentence-similarity | sentence-transformers |
# tmnam20/test_sentence_transformers
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this mo... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | tmnam20/test_sentence_transformers | null | [
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|
# tmnam20/test_sentence_transformers
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers instal... | [
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null | transformers | ## About
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<!-- ### vocab_type: -->
static quants of https://huggingface.co/ddh0/Starling-LM-10.7B-beta
<!-- provided-files -->
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 t... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "ddh0/Starling-LM-10.7B-beta", "quantized_by": "mradermacher"} | mradermacher/Starling-LM-10.7B-beta-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
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If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
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null | transformers |
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text-generation | transformers | <!-- header start -->
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text-generation | grok | # Grok-1
This repository contains the weights of the Grok-1 open-weights model. You can find the code in the [GitHub Repository](https://github.com/xai-org/grok-1/tree/main).
# Download instruction
Clone the repo & download the `int8` checkpoint to the `checkpoints` directory by executing this command in the repo roo... | {"license": "apache-2.0", "library_name": "grok", "tags": ["grok-1"], "pipeline_tag": "text-generation"} | taiseimatsuoka/test-files | null | [
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This repository contains the weights of the Grok-1 open-weights model. You can find the code in the GitHub Repository.
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Clone the repo & download the 'int8' checkpoint to the 'checkpoints' directory by executing this command in the repo root directory:
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text-generation | transformers |
# Model Card for Model ID
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## Model Details
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null | peft |
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zero-shot-object-detection | 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": []} | Gunulhona/owlvit-base-patch32-qint8 | null | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ndixon104/naicskit-v1 | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | <!-- header start -->
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Undi95/C-Based-2x7B
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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. Fee... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["not-for-all-audiences", "nsfw"], "base_model": "Undi95/C-Based-2x7B", "quantized_by": "mradermacher"} | mradermacher/C-Based-2x7B-GGUF | null | [
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-----
static quants of URL
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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 Medium En - SAA ASR 4000 Steps
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/open... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["chaseez/accented-english"], "base_model": "openai/whisper-medium", "model-index": [{"name": "Whisper Medium En - SAA ASR 4000 Steps", "results": []}]} | chaseez/whisper-medium-en | null | [
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|
# Whisper Medium En - SAA ASR 4000 Steps
This model is a fine-tuned version of openai/whisper-medium on the Speech Accent Archive dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
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More information needed
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
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-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | SungJinD/PyramidsRND | null | [
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# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers | <!-- header start -->
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"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #safetensors #falcon #text-generation #pruna-ai #custom_code #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
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