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null | null | ¿Qué es Lutexid Pastillas?
Lutexid tabletas es un suplemento premium para la salud ocular formulado con una potente mezcla de ingredientes naturales que nutren y protegen los ojos. Elaborado por expertos en el campo del cuidado de la visión, Lutexid Precio ofrece una solución integral a los problemas oculares comunes,... | {"license": "apache-2.0"} | LutexidArgentina/LutexidArgentina | null | [
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#license-apache-2.0 #region-us
| ¿Qué es Lutexid Pastillas?
Lutexid tabletas es un suplemento premium para la salud ocular formulado con una potente mezcla de ingredientes naturales que nutren y protegen los ojos. Elaborado por expertos en el campo del cuidado de la visión, Lutexid Precio ofrece una solución integral a los problemas oculares comunes,... | [] | [
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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. -->
# Intent-classification-BERT-Large-Ashuv5
This model is a fine-tuned version of [google-bert/bert-large-cased-whole-word-masking](... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "google-bert/bert-large-cased-whole-word-masking", "model-index": [{"name": "Intent-classification-BERT-Large-Ashuv5", "results": []}]} | Narkantak/Intent-classification-BERT-Large-Ashuv5 | null | [
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| Intent-classification-BERT-Large-Ashuv5
=======================================
This model is a fine-tuned version of google-bert/bert-large-cased-whole-word-masking on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7988
* Accuracy: 0.1420
* F1: 0.0414
* Precision: 0.0237
* R... | [
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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. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-eurosat", "results": [{"task": {"type": "image-classification", "name": "Image Clas... | iayrots/swin-tiny-patch4-window7-224-finetuned-eurosat | null | [
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| swin-tiny-patch4-window7-224-finetuned-eurosat
==============================================
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: 0.0601
* Accuracy: 0.98
Model description
--------... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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text-generation | transformers | Qwen 7B chat by Alibaba, SFTuned on Saiga dataset. Finetuned with EasyDeL framework on v3-8 Google TPU, provided by TRC.
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text-generation | transformers |
# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
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## Model Details
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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. -->
# gpt2-finetuned-justification-v3
This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achiev... | {"tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "gpt2-finetuned-justification-v3", "results": []}]} | satyanshu404/gpt2-finetuned-justification-v3 | null | [
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| gpt2-finetuned-justification-v3
===============================
This model is a fine-tuned version of [](URL on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2415
* Rouge1: 30.8957
* Rouge2: 13.5597
* Rougel: 22.4384
* Rougelsum: 28.2668
Model description
-----------------
... | [
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text-generation | transformers |
# Boundary-Hermes-Chat-2x7B-MoE
Boundary-Hermes-Chat-2x7B-MoE is a Mixture of Experts (MoE) made with the following models:
* [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B)
* [Nexusflow/Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta)
## ... | {"license": "apache-2.0", "tags": ["moe", "merge", "mergekit", "NousResearch/Hermes-2-Pro-Mistral-7B", "Nexusflow/Starling-LM-7B-beta"], "base_model": ["NousResearch/Hermes-2-Pro-Mistral-7B", "Nexusflow/Starling-LM-7B-beta"]} | NotAiLOL/Boundary-Hermes-Chat-2x7B-MoE | null | [
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# Boundary-Hermes-Chat-2x7B-MoE
Boundary-Hermes-Chat-2x7B-MoE is a Mixture of Experts (MoE) made with the following models:
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* Nexusflow/Starling-LM-7B-beta
## Configuration
## Usage
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CHAFIK_MODEL
This model is a fine-tuned version of [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/NousResearch/Llama-2... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "CHAFIK_MODEL", "results": []}]} | Sree26/CHAFIK_MODEL | null | [
"pytorch",
"tensorboard",
"generated_from_trainer",
"region:us"
] | null | 2024-04-18T08:23:09+00:00 | [] | [] | TAGS
#pytorch #tensorboard #generated_from_trainer #region-us
|
# CHAFIK_MODEL
This model is a fine-tuned version of NousResearch/Llama-2-7b-chat-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpara... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Alsebay/NarumashiRTS-7B-V2-1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sho... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft", "Roleplay", "roleplay"], "base_model": "Alsebay/NarumashiRTS-7B-V2-1", "quantized_by": "mradermacher"} | mradermacher/NarumashiRTS-7B-V2-1-GGUF | null | [
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"license:cc-by-nc-4.0",
"endpoints_compatible",
"has_space",
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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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] |
text-classification | setfit |
# SetFit with sentence-transformers/paraphrase-mpnet-base-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2) as the S... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "widget": [{"text": "The development of smart cities is leveraging technology to improve urban living conditions."}, {"text": "Climate change is causing a significant ... | EmeraldMP/ANLP_kaggle | null | [
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"arxiv:2209.11055",
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"region:us"
] | null | 2024-04-18T08:24:38+00:00 | [
"2209.11055"
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| SetFit with sentence-transformers/paraphrase-mpnet-base-v2
==========================================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/paraphrase-mpnet-base-v2 as the Sentence Transformer embedding model. A LogisticRegression... | [
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: sentence-transformers/paraphrase-mpnet-base-v2\n* Classification head: a LogisticRegression instance\n* Maximum Sequence Length: 512 tokens\n* Number of Classes: 12 classes",
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null | null |
**English** | [中文](./README_zh.md)
## Code implementation of new GTE embeddings
This model is a BERT-like encoder with the following optimizations implemented:
1. Replacing absolute position embeddings with RoPE [^1].
2. Substituting the conventional activation functions with Gated Linear Units (GLU) [^2].
3. Setti... | {"license": "apache-2.0"} | Alibaba-NLP/new-impl | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-18T08:25:38+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
English | 中文
## Code implementation of new GTE embeddings
This model is a BERT-like encoder with the following optimizations implemented:
1. Replacing absolute position embeddings with RoPE [^1].
2. Substituting the conventional activation functions with Gated Linear Units (GLU) [^2].
3. Setting attention dropout t... | [
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text-generation | transformers |
# taide/TAIDE-LX-7B-Chat-GGUF
- This is quantized version of [taide/TAIDE-LX-7B-Chat](https://huggingface.co/taide/TAIDE-LX-7B-Chat) created using llama.cpp
# Model Description
* The [TAIDE project](https://taide.tw/index) aims to develop a generative AI dialogue engine model that is tailored to the linguistic and cu... | {"license": "other", "library_name": "transformers", "tags": ["llama", "conversational"], "license_name": "taide-l-models-community-license-agreement", "license_link": "https://drive.google.com/file/d/1FcUZjbUH6jr4xoCyAronN_slLgcdhEUd/view", "pipeline_tag": "text-generation"} | QuantFactory/TAIDE-LX-7B-Chat-GGUF | null | [
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"text-generation",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T08:28:37+00:00 | [] | [] | TAGS
#transformers #gguf #llama #conversational #text-generation #license-other #endpoints_compatible #region-us
| taide/TAIDE-LX-7B-Chat-GGUF
===========================
* This is quantized version of taide/TAIDE-LX-7B-Chat created using URL
Model Description
=================
* The TAIDE project aims to develop a generative AI dialogue engine model that is tailored to the linguistic and cultural characteristics of Taiwan, w... | [] | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** goncaavci
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-2-7b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-2-7b-bnb-4bit"} | goncaavci/peft-llama-incident-factor-trail9 | null | [
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|
# Uploaded model
- Developed by: goncaavci
- License: apache-2.0
- Finetuned from model : unsloth/llama-2-7b-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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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/NotAiLOL/Boundary-4x7b-MoE
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Boundary-4x7b-... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "merge", "mergekit", "HuggingFaceH4/zephyr-7b-beta", "mistralai/Mistral-7B-Instruct-v0.2", "teknium/OpenHermes-2.5-Mistral-7B", "meta-math/MetaMath-Mistral-7B", "Mistral"], "base_model": "NotAiLOL/Boundary-4x7b-MoE", "quantize... | mradermacher/Boundary-4x7b-MoE-i1-GGUF | null | [
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"endpoints_compati... | null | 2024-04-18T08:30:12+00:00 | [] | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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] |
reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | chirbard/dqn-SpaceInvadersNoFrameskip-v4 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-18T08:30:43+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Mo... | {"license": "apache-2.0"} | kunkun666/kunkun_dat_llama-13b | null | [
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"text-generation",
"arxiv:1910.09700",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T08:32:55+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #llama #text-generation #arxiv-1910.09700 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
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object-detection | keras |
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
| :-- | :-- |
| na... | {"library_name": "keras", "tags": ["object-detection", "denoising_model"]} | Putul1519/Denoising | null | [
"keras",
"object-detection",
"denoising_model",
"region:us"
] | null | 2024-04-18T08:33:48+00:00 | [] | [] | TAGS
#keras #object-detection #denoising_model #region-us
| Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
----------------------------
More information needed
Training procedure
------------------
### Training hyperparameters
The following h... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n\nModel Plot\n----------\n\n\n\nView Model Plot\n!Model Image"
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] |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-medium-finetuned
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-med... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "datasets": ["common_voice_16_1"], "base_model": "openai/whisper-medium", "model-index": [{"name": "whisper-medium-finetuned", "results": []}]} | KevinKibe/whisper-medium-finetuned | null | [
"peft",
"pytorch",
"safetensors",
"generated_from_trainer",
"dataset:common_voice_16_1",
"base_model:openai/whisper-medium",
"license:apache-2.0",
"region:us"
] | null | 2024-04-18T08:34:01+00:00 | [] | [] | TAGS
#peft #pytorch #safetensors #generated_from_trainer #dataset-common_voice_16_1 #base_model-openai/whisper-medium #license-apache-2.0 #region-us
|
# whisper-medium-finetuned
This model is a fine-tuned version of openai/whisper-medium on the common_voice_16_1 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.3771
- eval_wer: 46.6887
- eval_runtime: 35.0021
- eval_samples_per_second: 0.829
- eval_steps_per_second: 0.029
- epoch: 9... | [
"# whisper-medium-finetuned\n\nThis model is a fine-tuned version of openai/whisper-medium on the common_voice_16_1 dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 1.3771\n- eval_wer: 46.6887\n- eval_runtime: 35.0021\n- eval_samples_per_second: 0.829\n- eval_steps_per_second: 0.029\... | [
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null | null | Kalau butuh langsung download ya takutnya kena nuke
<div id="container">
<section id="desc">
<h2>atau kalau tidak silahkan download sendiri di web officialnya</h2>
<hr>
<p>let's live healthy together</p>
</section>
<div>
<img id="animated-gif" src="https://cdn.discordapp.com/atta... | {"license": "mpl-2.0"} | Habuki/Microsoft-365 | null | [
"license:mpl-2.0",
"region:us"
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#license-mpl-2.0 #region-us
| Kalau butuh langsung download ya takutnya kena nuke
<div id="container">
<section id="desc">
<h2>atau kalau tidak silahkan download sendiri di web officialnya</h2>
<hr>
<p>let's live healthy together</p>
</section>
<div>
<img id="animated-gif" src="URL
alt="URL
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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. -->
# bert-finetuned-squad
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-squad", "results": []}]} | dokyoungkim/bert-finetuned-squad | null | [
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"question-answering",
"generated_from_trainer",
"base_model:bert-base-cased",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T08:35:54+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #question-answering #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #endpoints_compatible #region-us
|
# bert-finetuned-squad
This model is a fine-tuned version of bert-base-cased 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
... | [
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"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"... | [
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null | null | GGUF-IQ-Imatrix quants for an #experimental model.
> [!WARNING]
> Read about the original model here: <br>
> [[grimjim/fireblossom-32K-7B]](https://huggingface.co/grimjim/fireblossom-32K-7B) | {"license": "cc-by-4.0", "tags": ["gguf", "roleplay", "experimental"]} | Lewdiculous/fireblossom-32K-7B-GGUF-IQ-Imatrix | null | [
"gguf",
"roleplay",
"experimental",
"license:cc-by-4.0",
"region:us"
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#gguf #roleplay #experimental #license-cc-by-4.0 #region-us
| GGUF-IQ-Imatrix quants for an #experimental model.
!model-waifu
> [!WARNING]
> Read about the original model here: <br>
> [[grimjim/fireblossom-32K-7B]](URL | [] | [
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text-generation | transformers | # ConvexAI/Solutus-3x7B AWQ
- Model creator: [ConvexAI](https://huggingface.co/ConvexAI)
- Original model: [Solutus-3x7B](https://huggingface.co/ConvexAI/Solutus-3x7B)
## Model Summary
A model to t... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "merge", "4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious", "model-index": [{"name": "Solutus-3x7B", "results... | solidrust/Solutus-3x7B-AWQ | null | [
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"en",
"license:apache-2.0",
"model-index",
"text-generation-inference",
"region:us"
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"en"
] | TAGS
#transformers #safetensors #mixtral #text-generation #moe #merge #4-bit #AWQ #autotrain_compatible #endpoints_compatible #en #license-apache-2.0 #model-index #text-generation-inference #region-us
| # ConvexAI/Solutus-3x7B AWQ
- Model creator: ConvexAI
- Original model: Solutus-3x7B
!image/png
## Model Summary
A model to test how MoE will route without square expansion.
The config looks like this...(detailed version is in the files and versions):
- cognitivecomputations/WestLake-7B-v2-laser - base
- mlabonne/... | [
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"## Model Summary\n\nA model to test how MoE will route without square expansion.\n\nThe config looks like this...(detailed version is in the files and versions):\n- cognitivecomputations/WestLake-7B-v2-laser... | [
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"# ConvexAI/Solutus-3x7B AWQ\n\n- Model creator: ConvexAI\n- Original model: Solutus-3x7B\n\n!image/png",
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text-to-image | null | ## Model
 | {"tags": ["stable-diffusion", "text-to-image", "StableDiffusionPipeline", "lora"]} | fearvel/lloyd-de-saloum-sd-v1 | null | [
"stable-diffusion",
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"StableDiffusionPipeline",
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#stable-diffusion #text-to-image #StableDiffusionPipeline #lora #region-us
| ## Model
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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 da-nst
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on th... | {"license": "apache-2.0", "tags": ["whisper-event", "generated_from_trainer"], "datasets": ["common_voice_14_0"], "metrics": ["wer"], "base_model": "openai/whisper-medium", "model-index": [{"name": "Whisper da-nst", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "... | nicolarsen/whisper-medium-2-F | null | [
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"whisper",
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"license:apache-2.0",
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| Whisper da-nst
==============
This model is a fine-tuned version of openai/whisper-medium on the common\_voice\_14\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7234
* Wer: 35.3094
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-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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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. -->
# 0.001_ablation_6iters_iter_4
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_6iters_iter_3](https://huggingface.co... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_6iters_iter_3", "model-index": [{"name": "0.001_ablation_6iters_iter_4", "results": []}]} | ShenaoZ/0.001_ablation_6iters_iter_4 | null | [
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"license:mit",
"autotrain_compatible",
"endpoints_compati... | null | 2024-04-18T08:39:44+00:00 | [] | [] | TAGS
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|
# 0.001_ablation_6iters_iter_4
This model is a fine-tuned version of ShenaoZ/0.001_ablation_6iters_iter_3 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Tr... | [
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"## Intended uses & limitations\n\nMore information needed",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/garage-bAInd/Platypus2-70B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Platypus2-70B-... | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "library_name": "transformers", "datasets": ["garage-bAInd/Open-Platypus"], "base_model": "garage-bAInd/Platypus2-70B", "quantized_by": "mradermacher"} | mradermacher/Platypus2-70B-GGUF | null | [
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"base_model:garage-bAInd/Platypus2-70B",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T08:39:51+00:00 | [] | [
"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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text-generation | null |
# SeaLLM-7B-v2.5-GGUF
- Thsi si quantized version for [SeaLLMs/SeaLLM-7B-v2.5](https://huggingface.co/SeaLLMs/SeaLLM-7B-v2.5)
## Model Description
We introduce [SeaLLM-7B-v2.5](https://huggingface.co/SeaLLMs/SeaLLM-7B-v2.5), the state-of-the-art multilingual LLM for Southeast Asian (SEA) languages 🇬🇧 🇨🇳 🇻🇳 🇮... | {"language": ["en", "zh", "vi", "id", "th", "ms", "km", "lo", "my", "tl"], "license": "other", "tags": ["multilingual", "sea"], "license_name": "seallms", "license_link": "https://huggingface.co/SeaLLMs/SeaLLM-13B-Chat/blob/main/LICENSE", "pipeline_tag": "text-generation", "base_model": "SeaLLMs/SeaLLM-7B-v2.5"} | QuantFactory/SeaLLM-7B-v2.5-GGUF | null | [
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"arxiv:2312.00738",
"arxiv:2306.05179",
"base_model:SeaLLMs/SeaLLM-7B-v2.5",
"license:other",
"region:us"
] | null | 2024-04-18T08:40:28+00:00 | [
"2312.00738",
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| SeaLLM-7B-v2.5-GGUF
===================
* Thsi si quantized version for SeaLLMs/SeaLLM-7B-v2.5
Model Description
-----------------
We introduce SeaLLM-7B-v2.5, the state-of-the-art multilingual LLM for Southeast Asian (SEA) languages 🇬🇧 🇨🇳 🇻🇳 🇮🇩 🇹🇭 🇲🇾 🇰🇭 🇱🇦 🇲🇲 🇵🇭. It is the most significant up... | [
"### Highlights\n\n\n* SeaLLM-7B-v2.5 outperforms GPT-3.5 and achieves 7B SOTA on most multilingual knowledge benchmarks for SEA languages (MMLU, M3Exam & VMLU).\n* It achieves 79.0 and 34.9 on GSM8K and MATH, surpassing GPT-3.5 in MATH.",
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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. -->
# tiny-llama-code-feedback
This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyL... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", "model-index": [{"name": "tiny-llama-code-feedback", "results": []}]} | bgsmagnuson/tiny-llama-code-feedback | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"license:apache-2.0",
"region:us"
] | null | 2024-04-18T08:42:31+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #license-apache-2.0 #region-us
|
# tiny-llama-code-feedback
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## T... | [
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"# tiny-llama-code-feedback\n\nThis model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on an unknown dataset.",
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null | transformers |
# Uploaded model
- **Developed by:** xiaoliy2
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | xiaoliy2/mistral-7b-instruct-ft-1 | null | [
"transformers",
"safetensors",
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|
# Uploaded model
- Developed by: xiaoliy2
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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": []} | Tippawan/SNOMED-CT-NER-V.2-manually-CLASS | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | yuiseki/gemma-2b-aya-ja-v0.1 | 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-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - linxin020826/lora-trained-xl
<Gallery />
## Model description
These are linxin020826/lora-trai... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a photo of sks robot", "... | linxin020826/lora-trained-xl | null | [
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|
# SDXL LoRA DreamBooth - linxin020826/lora-trained-xl
<Gallery />
## Model description
These are linxin020826/lora-trained-xl LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
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Special VAE used for train... | [
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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. -->
# 0.0_ablation_6iters_iter_4
This model is a fine-tuned version of [ShenaoZ/0.0_ablation_6iters_iter_3](https://huggingface.co/She... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.0_ablation_6iters_iter_3", "model-index": [{"name": "0.0_ablation_6iters_iter_4", "results": []}]} | ShenaoZ/0.0_ablation_6iters_iter_4 | null | [
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|
# 0.0_ablation_6iters_iter_4
This model is a fine-tuned version of ShenaoZ/0.0_ablation_6iters_iter_3 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Traini... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# imdb-spoiler-bertOrigDataset
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "recall", "precision", "f1"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "imdb-spoiler-bertOrigDataset", "results": []}]} | Zritze/imdb-spoiler-bertOrigDataset | null | [
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| imdb-spoiler-bertOrigDataset
============================
This model is a fine-tuned version of google-bert/bert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7518
* Accuracy: 0.6965
* Recall: 0.6703
* Precision: 0.7074
* F1: 0.6883
Model description
--------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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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. -->
# Mixtral-8x22B-v0.1-Instruct-sft-en-de
A full SFT of [mistral-community/Mixtral-8x22B-v0.1](https://huggingface.co/mistral-commun... | {"language": ["en", "de"], "license": "apache-2.0", "tags": ["alignment-handbook", "generated_from_trainer"], "datasets": ["maxidl/instruct-en-de", "teknium/OpenHermes-2.5"], "base_model": "mistral-community/Mixtral-8x22B-v0.1", "model-index": [{"name": "Mixtral-8x22B-v0.1-Instruct-sft-en-de", "results": []}]} | maxidl/Mixtral-8x22B-v0.1-Instruct-sft-en-de | null | [
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=====================================
A full SFT of mistral-community/Mixtral-8x22B-v0.1 using a mix of English and German instruction data.
There is also an ORPO-trained version: maxidl/Mixtral-8x22B-v0.1-capybara-orpo-en-de
Dataset
-------
### Training hyperparameters
... | [
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image-text-to-text | transformers |
# Idefics2-8B-SFT
Idefics2-8B-SFT is SFT fine-tune of [HuggingFaceM4/idefics2-8b](https://huggingface.co/HuggingFaceM4/idefics2-8b) on 35k [TextVQA dataset](https://huggingface.co/datasets/textvqa... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["multimodal", "vision", "image-text-to-text"], "datasets": ["lmms-lab/textvqa"]} | Syed-Hasan-8503/Idefics2-8B-SFT | null | [
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|
# Idefics2-8B-SFT
!image/jpeg
Idefics2-8B-SFT is SFT fine-tune of HuggingFaceM4/idefics2-8b on 35k TextVQA dataset. Training was performed on RTX A5000 for 10 hrs. Wandb report:
!image/png
This fine-tuned model achieves a Levenshtein score of 82.29%.
# Model Summary
- Developed by: Hugging Face
- Model type: Mu... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-small-finetuned-finetuned
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "datasets": ["common_voice_16_1"], "base_model": "openai/whisper-small", "model-index": [{"name": "whisper-small-finetuned-finetuned", "results": []}]} | KevinKibe/whisper-small-finetuned-finetuned | null | [
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] | null | 2024-04-18T08:53:57+00:00 | [] | [] | TAGS
#peft #pytorch #safetensors #generated_from_trainer #dataset-common_voice_16_1 #base_model-openai/whisper-small #license-apache-2.0 #region-us
|
# whisper-small-finetuned-finetuned
This model is a fine-tuned version of openai/whisper-small on the common_voice_16_1 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 3.2831
- eval_wer: 109.0909
- eval_runtime: 18.9581
- eval_samples_per_second: 0.211
- eval_steps_per_second: 0.053
-... | [
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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": []} | Reihaneh/wav2vec2_fy_nl_en_common_voice_12 | null | [
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#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.
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text-generation | null |
# CodeQwen1.5-7B-Chat-GGUF
- This is quantized version of [CodeQwen1.5-7B-Chat](https://huggingface.co/Qwen/CodeQwen1.5-7B-Chat) created using llama.cpp
## Model Description
CodeQwen1.5 is the Code-Specific version of Qwen1.5. It is a transformer-based decoder-only language model pretrained on a large amount of dat... | {"language": ["en"], "license": "other", "tags": ["chat"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/CodeQwen1.5-7B-Chat/blob/main/LICENSE", "pipeline_tag": "text-generation", "base_model": "Qwen/CodeQwen1.5-7B-Chat"} | QuantFactory/CodeQwen1.5-7B-Chat-GGUF | null | [
"gguf",
"chat",
"text-generation",
"en",
"base_model:Qwen/CodeQwen1.5-7B-Chat",
"license:other",
"region:us"
] | null | 2024-04-18T08:54:10+00:00 | [] | [
"en"
] | TAGS
#gguf #chat #text-generation #en #base_model-Qwen/CodeQwen1.5-7B-Chat #license-other #region-us
|
# CodeQwen1.5-7B-Chat-GGUF
- This is quantized version of CodeQwen1.5-7B-Chat created using URL
## Model Description
CodeQwen1.5 is the Code-Specific version of Qwen1.5. It is a transformer-based decoder-only language model pretrained on a large amount of data of codes.
CodeQwen1.5 is based on Qwen1.5, a language ... | [
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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... | Koyiljon/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-18T08:56:54+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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] |
null | adapter-transformers |
# Adapter `jgrc3/pfeiffer_adapter_classification_noPre_10epochs` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness/) dataset and includes a prediction head for classifica... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_helpfulness"]} | jgrc3/pfeiffer_adapter_classification_noPre_10epochs | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_helpfulness",
"region:us"
] | null | 2024-04-18T08:57:08+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness #region-us
|
# Adapter 'jgrc3/pfeiffer_adapter_classification_noPre_10epochs' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, ins... | [
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | sergheevadrian/group8-million-song-model | null | [
"fastai",
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#fastai #region-us
|
# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the documentation here)!
2. Create a demo in Gradio or Streamlit using Spaces (documentation here).
3. Join the fastai community on the ... | [
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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": "Qwen/Qwen-7B-Chat"} | kyriemao/chatretriever | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
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"region:us"
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] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-Qwen/Qwen-7B-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 | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/Kotokin/Merged-RP-Stew-V2-51B
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Merged-RP-S... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["merge", "roleplay", "exl2", "not-for-all-audiences"], "base_model": "Kotokin/Merged-RP-Stew-V2-51B", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE", "license_name": "yi-34b", "quantized_by": "mradermacher"} | mradermacher/Merged-RP-Stew-V2-51B-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
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(sorted by size, not necessarily quality. ... | [] | [
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] |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama2-chat_30000_500
This model is a fine-tuned version of [unsloth/llama-2-7b-chat-bnb-4bit](https://huggingface.co/unsloth/ll... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "unsloth", "generated_from_trainer"], "base_model": "unsloth/llama-2-7b-chat-bnb-4bit", "model-index": [{"name": "llama2-chat_30000_500", "results": []}]} | Angelectronic/llama2-chat_30000_500 | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"unsloth",
"generated_from_trainer",
"base_model:unsloth/llama-2-7b-chat-bnb-4bit",
"license:apache-2.0",
"region:us"
] | null | 2024-04-18T09:05:05+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #unsloth #generated_from_trainer #base_model-unsloth/llama-2-7b-chat-bnb-4bit #license-apache-2.0 #region-us
|
# llama2-chat_30000_500
This model is a fine-tuned version of unsloth/llama-2-7b-chat-bnb-4bit on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.9608
- eval_runtime: 160.5428
- eval_samples_per_second: 5.606
- eval_steps_per_second: 1.401
- epoch: 1.2
- step: 564
## 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. -->
# bert-finetuned-ner
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-ner", "results": []}]} | JayBDev/bert-finetuned-ner | null | [
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"endpoints_compatible",
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| bert-finetuned-ner
==================
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0626
* Precision: 0.9372
* Recall: 0.9519
* F1: 0.9445
* Accuracy: 0.9865
Model description
-----------------
More information nee... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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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. -->
# Mixtral-8x22b-Instruct-finetuned
This model is a fine-tuned version of [mistralai/Mixtral-8x22B-Instruct-v0.1](https://huggingfa... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mixtral-8x22B-Instruct-v0.1", "model-index": [{"name": "Mixtral-8x22b-Instruct-finetuned", "results": []}]} | Utshav/Mixtral-8x22b-Instruct-finetuned | null | [
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"dataset:generator",
"base_model:mistralai/Mixtral-8x22B-Instruct-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-18T09:07:55+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mixtral-8x22B-Instruct-v0.1 #license-apache-2.0 #region-us
|
# Mixtral-8x22b-Instruct-finetuned
This model is a fine-tuned version of mistralai/Mixtral-8x22B-Instruct-v0.1 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proc... | [
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text-generation | transformers | # IBI-CAAI/MELT-Mistral-3x7B-Instruct-v0.1 AWQ
- Model creator: [IBI-CAAI](https://huggingface.co/IBI-CAAI)
- Original model: [MELT-Mistral-3x7B-Instruct-v0.1](https://huggingface.co/IBI-CAAI/MELT-Mistral-3x7B-Instruct-v0.1)
## Model Summary
The MELT-Mistral-3x7B-Instruct-v0.1 Large Language Model (LLM) is a pretrai... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/MELT-Mistral-3x7B-Instruct-v0.1-AWQ | null | [
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| # IBI-CAAI/MELT-Mistral-3x7B-Instruct-v0.1 AWQ
- Model creator: IBI-CAAI
- Original model: MELT-Mistral-3x7B-Instruct-v0.1
## Model Summary
The MELT-Mistral-3x7B-Instruct-v0.1 Large Language Model (LLM) is a pretrained generative text model pre-trained and fine-tuned on using publically avalable medical data.
MELT-... | [
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sentence-similarity | sentence-transformers |
# nisso22/all-mini-1
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 model becomes easy... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | nisso22/all-mini-1 | null | [
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#sentence-transformers #safetensors #roberta #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# nisso22/all-mini-1
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 installed:
Then you... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# LoRA text2image fine-tuning - zhangyi617/sd-AE-model-pall-FGSM-origin-prompt-lora_text
These are LoRA adaption weights f... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora"], "base_model": "runwayml/stable-diffusion-v1-5", "inference": true} | zhangyi617/sd-AE-model-pall-FGSM-origin-prompt-lora_text | null | [
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|
# LoRA text2image fine-tuning - zhangyi617/sd-AE-model-pall-FGSM-origin-prompt-lora_text
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the zhangyi617/AE_adversarial_train_prompt_all_origin dataset. You can find some example images in the following.
!img_0
!img_... | [
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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": []} | IbtiHt/commentgpt-ft | 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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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | adekhovich/a2c-PandaReachDense-v3 | null | [
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"PandaReachDense-v3",
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#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# open-llama-2-ko-7b-ko-sharegpt-finetuned-50steps
This model is a fine-tuned version of [beomi/open-llama-2-ko-7b](https://huggin... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "beomi/open-llama-2-ko-7b", "model-index": [{"name": "open-llama-2-ko-7b-ko-sharegpt-finetuned-50steps", "results": []}]} | youngwook-kim/open-llama-2-ko-7b-ko-sharegpt-finetuned-50steps | null | [
"generated_from_trainer",
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#generated_from_trainer #base_model-beomi/open-llama-2-ko-7b #license-mit #region-us
|
# open-llama-2-ko-7b-ko-sharegpt-finetuned-50steps
This model is a fine-tuned version of beomi/open-llama-2-ko-7b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proc... | [
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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. -->
# CodeBertForClone-Detection
This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/code... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/codebert-base", "model-index": [{"name": "CodeBertForClone-Detection", "results": []}]} | ljcnju/CodeBertForClone-Detection | null | [
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| CodeBertForClone-Detection
==========================
This model is a fine-tuned version of microsoft/codebert-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4183
* Accuracy: 0.834
Model description
-----------------
More information needed
Intended uses & limit... | [
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null | null |
Flan-T5 small finetuned with [GLAM](https://sites.google.com/view/grounding-llms-with-online-rl/) on BabyAI-Text GoToLocal task.
Paper: arxiv.org/abs/2302.02662 | {"license": "mit"} | ClementRomac/llm_gtl_nbr_env_32_Flan_T5small_6-actions | null | [
"arxiv:2302.02662",
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Flan-T5 small finetuned with GLAM on BabyAI-Text GoToLocal task.
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null | null | Flan-T5 xl finetuned with [GLAM](https://sites.google.com/view/grounding-llms-with-online-rl/) on BabyAI-Text GoToLocal task.
Paper: arxiv.org/abs/2302.02662 | {"license": "mit"} | ClementRomac/llm_gtl_nbr_env_32_Flan_T5xl_6-actions | null | [
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| Flan-T5 xl finetuned with GLAM on BabyAI-Text GoToLocal task.
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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. -->
# output
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
## Model description
More info... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "output", "results": []}]} | shoveling42/output | null | [
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"tensorboard",
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|
# output
This model is a fine-tuned version of [](URL 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 following hyperpara... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# new_results
This model is a fine-tuned version of [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/NousResearch/Llama-2-... | {"tags": ["generated_from_trainer"], "base_model": "NousResearch/Llama-2-7b-chat-hf", "model-index": [{"name": "new_results", "results": []}]} | huylys12/Llama-2-resume-fine-tune | null | [
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|
# new_results
This model is a fine-tuned version of NousResearch/Llama-2-7b-chat-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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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": []} | thanhnew2001/bank5 | 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 | null |
Flan-T5 large finetuned with [GLAM](https://sites.google.com/view/grounding-llms-with-online-rl/) on BabyAI-Text MixedTrainLocal task.
Paper: arxiv.org/abs/2302.02662 | {"license": "mit"} | ClementRomac/llm_mtrl_nbr_env_32_Flan_T5large_6-actions | null | [
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Flan-T5 large finetuned with GLAM on BabyAI-Text MixedTrainLocal task.
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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. -->
# gpt2-finetuned-justification-v5
This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achiev... | {"tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "gpt2-finetuned-justification-v5", "results": []}]} | satyanshu404/gpt2-finetuned-justification-v5 | null | [
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| gpt2-finetuned-justification-v5
===============================
This model is a fine-tuned version of [](URL on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3678
* Rouge1: 28.2558
* Rouge2: 13.2942
* Rougel: 20.5646
* Rougelsum: 25.4960
Model description
-----------------
... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuning-0
This model is a fine-tuned version of [PlanTL-GOB-ES/bsc-bio-ehr-es](https://huggingface.co/PlanTL-GOB-ES/bsc-bio-e... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "f1"], "base_model": "PlanTL-GOB-ES/bsc-bio-ehr-es", "model-index": [{"name": "finetuning-0", "results": []}]} | roscazo/finetuning-0 | null | [
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| finetuning-0
============
This model is a fine-tuned version of PlanTL-GOB-ES/bsc-bio-ehr-es on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2446
* Precision: 0.9615
* Sensitivity: 0.8065
* F1: 0.8772
Model description
-----------------
More information needed
Intended ... | [
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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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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- 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": []} | Grayx/sad_pepe_7.0 | null | [
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text-generation | transformers | # Endevor/EndlessRP-v3-7B AWQ
- Model creator: [Endevor](https://huggingface.co/Endevor)
- Original model: [EndlessRP-v3-7B](https://huggingface.co/Endevor/EndlessRP-v3-7B)
## Model Summary
This ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "safetensors", "mergekit", "merge", "mistral", "not-for-all-audiences", "nsfw", "rp", "roleplay"], "pipeline_tag": "text-generation", "inference": fal... | solidrust/EndlessRP-v3-7B-AWQ | null | [
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| # Endevor/EndlessRP-v3-7B AWQ
- Model creator: Endevor
- Original model: EndlessRP-v3-7B
!image/jpeg
## Model Summary
This model is recommended for RP, but you can use it as assistant as well.
New model! Version 2 brings less GPTims, but it's more the same, so I made this one. This is probably the best. Please, gi... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
# Model Card for Model ID
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image-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
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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": []} | IlyasMoutawwakil/vit-with-hidden_states | null | [
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text-generation | transformers | # Probably BROKEN, look for v0.2 which should be working!
* Test merge of two extremely large MoE models using SLERP. Don't know if it's working yet, haven't had time or hardware to test.
# merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Deta... | {"license": "apache-2.0", "tags": ["mergekit", "merge"], "base_model": ["alpindale/WizardLM-2-8x22B", "mistralai/Mixtral-8x22B-Instruct-v0.1"]} | jsfs11/MixtralxWizardLM2-8x22B-SLERP-v0.1 | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
... | null | 2024-04-18T09:41:08+00:00 | [] | [] | TAGS
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| # Probably BROKEN, look for v0.2 which should be working!
* Test merge of two extremely large MoE models using SLERP. Don't know if it's working yet, haven't had time or hardware to test.
# merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was ... | [
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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": []} | IlyasMoutawwakil/vit-with-attentions | null | [
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#transformers #safetensors #openvino #vit #image-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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- Language(s) (NLP):
- License... | [
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question-answering | 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": []} | Dofla/bert-squad | null | [
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#transformers #safetensors #bert #question-answering #arxiv-1910.09700 #endpoints_compatible #has_space #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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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small - Singlish v2
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-s... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["rngzhi/cs3264-project"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small - Singlish v2", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Spee... | rngzhi/cs3264-project-v2 | null | [
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| Whisper Small - Singlish v2
===========================
This model is a fine-tuned version of openai/whisper-small on the rngzhi/cs3264-project dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1850
* Wer: 4.9236
Model description
-----------------
More information needed
Intended us... | [
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text-generation | transformers |
# CodeMind
Coding Test Explanatory LLM Model.
## Model Details
- **Model Name**: CodeMind
- **Base Model**: gemma-1.1-7b-it
- **Fine-tuning Datasets**:
- [kreimben/leetcode_user_submissions_only_python](https://huggingface.co/datasets/kreimben/leetcode_user_submissions_only_python)
- [kreimben/leetcode_with_youtu... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["code"], "datasets": ["kreimben/leetcode_with_youtube_captions", "kreimben/leetcode_user_submissions"], "base_model": ["google/gemma-1.1-2b-it"], "widget": [{"text": "explain about two sum problem. from brute force approach to the most adva... | kreimben/CodeMind-gemma-7b | null | [
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"base_model:google/gemma-1.1-2b-it",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"t... | null | 2024-04-18T09:46:57+00:00 | [] | [
"en"
] | TAGS
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|
# CodeMind
Coding Test Explanatory LLM Model.
## Model Details
- Model Name: CodeMind
- Base Model: gemma-1.1-7b-it
- Fine-tuning Datasets:
- kreimben/leetcode_user_submissions_only_python
- kreimben/leetcode_with_youtube_captions
- Model Type: Language Model
- Language: English
- License: gemma
- Model Size: 8.5... | [
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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": []} | abdullahfurquan/mistral-7b-final | 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 |
# 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": []} | Owaner/CodexTokenizer6k | null | [
"transformers",
"arxiv:1910.09700",
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"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.
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- Funded by [optional]:
- Shared by [optional]:
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- Language(s) (NLP):
- License... | [
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text-to-image | diffusers | # Working30days
<Gallery />
## Model description
Type Tigger word Style of TOK
## Trigger words
You should use `Style of TOK` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/Hoga2/Workingbody30days/tree/main) them in the Files & vers... | {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "-", "output": {"url": "images/\u0e44\u0e21\u0e48\u0e21\u0e35\u0e0a\u0e37\u0e48\u0e2d 265_20240418164824.png"}}], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "Style of TOK"} | Hoga2/Workingbody30days | null | [
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"stable-diffusion",
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
| # Working30days
<Gallery />
## Model description
Type Tigger word Style of TOK
## Trigger words
You should use 'Style of TOK' to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
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null | null |
# cleatherbury/Phigments12-Q8_0-GGUF
This model was converted to GGUF format from [`liminerity/Phigments12`](https://huggingface.co/liminerity/Phigments12) 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... | {"license": "apache-2.0", "tags": ["liminerity/merge6", "liminerity/merge3", "Merge", "llama-cpp", "gguf-my-repo"]} | cleatherbury/Phigments12-Q8_0-GGUF | null | [
"gguf",
"liminerity/merge6",
"liminerity/merge3",
"Merge",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-18T09:52:36+00:00 | [] | [] | TAGS
#gguf #liminerity/merge6 #liminerity/merge3 #Merge #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# cleatherbury/Phigments12-Q8_0-GGUF
This model was converted to GGUF format from 'liminerity/Phigments12' 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:... | [
"# cleatherbury/Phigments12-Q8_0-GGUF\nThis model was converted to GGUF format from 'liminerity/Phigments12' 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 |
# Marcoro14-7B-slerp
Marcoro14-7B-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [AIDC-ai-business/Marcoroni-7B-v3](https://huggingface.co/AIDC-ai-business/Marcoroni-7B-v3)
* [EmbeddedLLM/Mistral-7B-Merge-14-v0.1](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "AIDC-ai-business/Marcoroni-7B-v3", "EmbeddedLLM/Mistral-7B-Merge-14-v0.1"]} | fuyu-quant/Marcoro14-7B-slerp | null | [
"merge",
"mergekit",
"lazymergekit",
"AIDC-ai-business/Marcoroni-7B-v3",
"EmbeddedLLM/Mistral-7B-Merge-14-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-18T09:53:34+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #AIDC-ai-business/Marcoroni-7B-v3 #EmbeddedLLM/Mistral-7B-Merge-14-v0.1 #license-apache-2.0 #region-us
|
# Marcoro14-7B-slerp
Marcoro14-7B-slerp is a merge of the following models using mergekit:
* AIDC-ai-business/Marcoroni-7B-v3
* EmbeddedLLM/Mistral-7B-Merge-14-v0.1
## Configuration
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text-generation | transformers |
<!-- header start -->
<p align="center">
<img src="https://i.imgur.com/mNM6Cai.png" width="100%" alt="Friendli Logo">
</p>
<!-- header end -->
# Mixtral-8x22B-Instruct-v0.1 - FP8
- Model creator: [Mistral AI](https://huggingface.co/mistralai)
- Original model: [Mixtral-8x22B-Instruct-v0.1](https://huggingface.co/m... | {"license": "apache-2.0", "tags": ["pretrained"], "model_name": "mistralai/Mixtral-8x22B-Instruct-v0.1", "base_model": "mistralai/Mixtral-8x22B-Instruct-v0.1", "inference": false, "model_link": "https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1", "pipeline_tag": "text-generation", "quantized_by": "FriendliAI... | FriendliAI/Mixtral-8x22B-Instruct-v0.1-fp8 | null | [
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|
<p align="center">
<img src="https://i.URL width="100%" alt="Friendli Logo">
</p>
# Mixtral-8x22B-Instruct-v0.1 - FP8
- Model creator: Mistral AI
- Original model: Mixtral-8x22B-Instruct-v0.1
## Description
This repo contains the Mixtral-8x22B-Instruct-v0.1 model quantized to FP8 by FriendliAI, significantly... | [
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"## Description\n\nThis repo contains the Mixtral-8x22B-Instruct-v0.1 model quantized to FP8 by FriendliAI, significantly enhancing its inference efficiency while maintaining high accuracy.\nNote t... | [
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object-detection | 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. -->
# detr-resnet-50-finetuned-10k-cppe5
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebo... | {"license": "apache-2.0", "tags": ["object-detection", "vision", "generated_from_trainer"], "datasets": ["cppe-5"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr-resnet-50-finetuned-10k-cppe5", "results": []}]} | qubvel-hf/detr-resnet-50-finetuned-10k-cppe5 | null | [
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] | null | 2024-04-18T09:54:30+00:00 | [] | [] | TAGS
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| detr-resnet-50-finetuned-10k-cppe5
==================================
This model is a fine-tuned version of facebook/detr-resnet-50 on the cppe-5 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9865
* Map: 0.3578
* Map 50: 0.6781
* Map 75: 0.3105
* Map Small: 0.3578
* Map Medium: -1.0
* ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 1337\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 100.0\n* mixed\\_... | [
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text-to-image | diffusers | # Workout
<Gallery />
## Model description
Test
## Trigger words
You should use `Style of TOK` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/Hoga2/Working30daysworkout/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "-", "output": {"url": "images/\u0e44\u0e21\u0e48\u0e21\u0e35\u0e0a\u0e37\u0e48\u0e2d 265_20240418164824.png"}}], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "Style of TOK"} | Hoga2/Working30daysworkout | null | [
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
| # Workout
<Gallery />
## Model description
Test
## Trigger words
You should use 'Style of TOK' to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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text-generation | transformers |
<!-- header start -->
<p align="center">
<img src="https://i.imgur.com/mNM6Cai.png" width="100%" alt="Friendli Logo">
</p>
<!-- header end -->
# Mixtral-8x22B-v0.1 - FP8
- Model creator: [Mistral AI](https://huggingface.co/mistralai)
- Original model: [Mixtral-8x22B-v0.1](https://huggingface.co/mistralai/Mixtral-8... | {"license": "apache-2.0", "tags": ["pretrained"], "model_name": "mistralai/Mixtral-8x22B-v0.1", "base_model": "mistralai/Mixtral-8x22B-v0.1", "inference": false, "model_link": "https://huggingface.co/mistralai/Mixtral-8x22B-v0.1", "pipeline_tag": "text-generation", "quantized_by": "FriendliAI"} | FriendliAI/Mixtral-8x22B-v0.1-fp8 | null | [
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"autotrain_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-18T09:55:15+00:00 | [] | [] | TAGS
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|
<p align="center">
<img src="https://i.URL width="100%" alt="Friendli Logo">
</p>
# Mixtral-8x22B-v0.1 - FP8
- Model creator: Mistral AI
- Original model: Mixtral-8x22B-v0.1
## Description
This repo contains the Mixtral-8x22B-v0.1 model quantized to FP8 by FriendliAI, significantly enhancing its inference ef... | [
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audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-base-finetuned-gtzan
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["marsyas/gtzan"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "wav2vec2-base-finetuned-gtzan", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name... | saketag73/classification_facebook_wav2vec2-base-finetuned-gtzan-1 | null | [
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| wav2vec2-base-finetuned-gtzan
=============================
This model is a fine-tuned version of facebook/wav2vec2-base on the GTZAN dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1430
* Accuracy: 0.76
Model description
-----------------
More information needed
Intended uses & li... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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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. -->
# CodeBertForDefect-Detection
This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/cod... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/codebert-base", "model-index": [{"name": "CodeBertForDefect-Detection", "results": []}]} | ljcnju/CodeBertForDefect-Detection | null | [
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| CodeBertForDefect-Detection
===========================
This model is a fine-tuned version of microsoft/codebert-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9039
* Accuracy: 0.6435
Model description
-----------------
More information needed
Intended uses & li... | [
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null | null | Insugr capsule क्या है?
Insugr Tablets एक विशेष रूप से तैयार किया गया आहार अनुपूरक है जिसे मधुमेह से पीड़ित व्यक्तियों को उनके रक्त शर्करा के स्तर को प्रभावी ढंग से प्रबंधित करने में सहायता करने के लिए डिज़ाइन किया गया है। इसमें प्राकृतिक अवयवों का एक अनूठा मिश्रण होता है, प्रत्येक को ग्लूकोज चयापचय को विनियमित करने औ... | {"license": "apache-2.0"} | InsugrIndia/InsugrIndia | null | [
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#license-apache-2.0 #region-us
| Insugr capsule क्या है?
Insugr Tablets एक विशेष रूप से तैयार किया गया आहार अनुपूरक है जिसे मधुमेह से पीड़ित व्यक्तियों को उनके रक्त शर्करा के स्तर को प्रभावी ढंग से प्रबंधित करने में सहायता करने के लिए डिज़ाइन किया गया है। इसमें प्राकृतिक अवयवों का एक अनूठा मिश्रण होता है, प्रत्येक को ग्लूकोज चयापचय को विनियमित करने औ... | [] | [
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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": []} | ahmedheakl/bert-resume-classification | null | [
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"endpoints_compatible",
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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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sentence-similarity | sentence-transformers |
# all-MiniLM-L6-v2
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 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](... | {"language": "en", "license": "apache-2.0", "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "datasets": ["s2orc", "flax-sentence-embeddings/stackexchange_xml", "ms_marco", "gooaq", "yahoo_answers_topics", "code_search_net", "search... | 1998Shubham007/ModelRecomm | null | [
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"dataset:s2orc",
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"dataset:ms_marco",
"dataset:gooaq",
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#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #transformers #en #dataset-s2orc #dataset-flax-sentence-embeddings/stackexchange_xml #dataset-ms_marco #dataset-gooaq #dataset-yahoo_answers_topics #dataset-code_search_net #dataset-search_qa #dataset-eli5 #dataset-snli #dataset-mul... | all-MiniLM-L6-v2
================
This is a sentence-transformers model: It maps sentences & paragraphs to a 384 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 sent... | [
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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. -->
# save
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Inst... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "save", "results": []}]} | Baprick/save | null | [
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|
# save
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparame... | [
"# save\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure... | [
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text-generation | transformers | # Endevor/InfinityRP-v1-7B AWQ
- Model creator: [Endevor](https://huggingface.co/Endevor)
- Original model: [InfinityRP-v1-7B](https://huggingface.co/Endevor/InfinityRP-v1-7B)
## Model Summary
This is an experimental model I currently use. It's far from great as I'm s... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "safetensors", "mistral", "not-for-all-audiences", "nsfw", "rp", "roleplay"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "... | solidrust/InfinityRP-v1-7B-AWQ | null | [
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| # Endevor/InfinityRP-v1-7B AWQ
- Model creator: Endevor
- Original model: InfinityRP-v1-7B
## Model Summary
!example
This is an experimental model I currently use. It's far from great as I'm still working on it, but I leave it here for people to try if interested in this format.
This model was basically made to sto... | [
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null | null | # StarAntler-RP-WestLake-chatvector_GGUF
このモデルは[StarAntler-RP-WestLake-chatvector](https://huggingface.co/soramikaduki/StarAntler-RP-WestLake-chatvector?not-for-all-audiences=true)の量子化バージョンです。
詳細は上記のモデルページで確認してください | {"language": ["ja"], "license": "apache-2.0", "tags": ["not-for-all-audiences"]} | soramikaduki/StarAntler-RP-WestLake-chatvector_GGUF | null | [
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"ja"
] | TAGS
#gguf #not-for-all-audiences #ja #license-apache-2.0 #region-us
| # StarAntler-RP-WestLake-chatvector_GGUF
このモデルはStarAntler-RP-WestLake-chatvectorの量子化バージョンです。
詳細は上記のモデルページで確認してください | [
"# StarAntler-RP-WestLake-chatvector_GGUF\n\nこのモデルはStarAntler-RP-WestLake-chatvectorの量子化バージョンです。\n詳細は上記のモデルページで確認してください"
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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": "HuggingFaceH4/zephyr-7b-beta"} | ernest/intent_redline_v4_adapter_1792 | 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:
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### Model Sources [optional]
- Repository:
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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": []} | ManikanthaDandi/idefics-9b-PokemonCards | 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. -->
# model-v2-18-04-2024
This model is a fine-tuned version of [microsoft/layoutlmv3-large](https://huggingface.co/microsoft/layoutlm... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "model-v2-18-04-2024", "results": []}]} | ineoApp/model-v2-18-04-2024 | null | [
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"region:us"
] | null | 2024-04-18T10:10:19+00:00 | [] | [] | TAGS
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| model-v2-18-04-2024
===================
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: 1.2634
* Precision: 0.6613
* Recall: 0.6949
* F1: 0.6777
* Accuracy: 0.8140
Model description
-----------------
More in... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 2\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: 1000",
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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. -->
# GPT2-705M
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following res... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "GPT2-705M", "results": []}]} | ninagroot/GPT2-705M-RUN2 | null | [
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| GPT2-705M
=========
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 5.5041
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Traini... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ResplendentAI/Aura_v2_7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "ResplendentAI/Aura_v2_7B", "quantized_by": "mradermacher"} | mradermacher/Aura_v2_7B-GGUF | null | [
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"en"
] | TAGS
#transformers #gguf #en #base_model-ResplendentAI/Aura_v2_7B #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | 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-CR-ProvaCluster3-5Epochs
This model is a fine-tuned version of [tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expan... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0", "model-index": [{"name": "PolizzeDonut-CR-ProvaCluster3-5Epochs", "results": []}]} | tedad09/PolizzeDonut-CR-ProvaCluster3-5Epochs | null | [
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"license:mit",
"endpoints_compatible",
"region:us"
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|
# PolizzeDonut-CR-ProvaCluster3-5Epochs
This model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information n... | [
"# PolizzeDonut-CR-ProvaCluster3-5Epochs\n\nThis model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.",
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