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text-to-audio | 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. -->
# ceb_full_checkpoint
This model is a fine-tuned version of [mikhail-panzo/fil_enhanced_checkpoint](https://huggingface.co/mikhail... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "mikhail-panzo/fil_enhanced_checkpoint", "model-index": [{"name": "ceb_full_checkpoint", "results": []}]} | mikhail-panzo/ceb_full_checkpoint | null | [
"transformers",
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"safetensors",
"speecht5",
"text-to-audio",
"generated_from_trainer",
"base_model:mikhail-panzo/fil_enhanced_checkpoint",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T15:36:42+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #speecht5 #text-to-audio #generated_from_trainer #base_model-mikhail-panzo/fil_enhanced_checkpoint #license-mit #endpoints_compatible #region-us
| ceb\_full\_checkpoint
=====================
This model is a fine-tuned version of mikhail-panzo/fil\_enhanced\_checkpoint on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3917
Model description
-----------------
More information needed
Intended uses & limitations
-------... | [
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text-generation | transformers |
# SG-Tamil-MoE-7B
SG-Tamil-MoE-7B is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Hemanth-thunder/Tamil-Mistral-7B-v0.1](https://huggingface.co/Hemanth-thunder/Tamil-Mistral-7B-v0.1)
* [Hemanth... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "Hemanth-thunder/Tamil-Mistral-7B-v0.1"], "base_model": ["Hemanth-thunder/Tamil-Mistral-7B-v0.1", "Hemanth-thunder/Tamil-Mistral-7B-v0.1"]} | praveengovi/SG-Tamil-MoE-7B | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-... | null | 2024-04-14T15:37:11+00:00 | [] | [] | TAGS
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|
# SG-Tamil-MoE-7B
SG-Tamil-MoE-7B is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* Hemanth-thunder/Tamil-Mistral-7B-v0.1
* Hemanth-thunder/Tamil-Mistral-7B-v0.1
## Configuration
## Usage
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | GladiusTn/mistral7b_ocr_to_xml_A1_4bits | null | [
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"1910.09700"
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#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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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. -->
# dif_metric_amazon_kindle_sentiment_analysis_final
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "dif_metric_amazon_kindle_sentiment_analysis_final", "results": []}]} | denise227/dif_metric_amazon_kindle_sentiment_analysis_final | null | [
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"license:apache-2.0",
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"endpoints_compatible",
"region:us"
] | null | 2024-04-14T15:40:28+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| dif\_metric\_amazon\_kindle\_sentiment\_analysis\_final
=======================================================
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9440
* Accuracy: 0.5767
Model description
--------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/maywell/PiVoT-SUS-RP
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/PiVoT-SUS-RP-GGUF
##... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "maywell/PiVoT-SUS-RP", "quantized_by": "mradermacher"} | mradermacher/PiVoT-SUS-RP-i1-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:maywell/PiVoT-SUS-RP",
"license:apache-2.0",
"endpoints_compatible",
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"en"
] | TAGS
#transformers #gguf #en #base_model-maywell/PiVoT-SUS-RP #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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42
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] |
text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Mistral-7B-Instruct-v0.2 - bnb 8bits
- Model creator: https://huggingface.co/mistralai/
- Original model: https://huggingfac... | {} | RichardErkhov/mistralai_-_Mistral-7B-Instruct-v0.2-8bits | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:2310.06825",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-14T15:44:05+00:00 | [
"2310.06825"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #arxiv-2310.06825 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Mistral-7B-Instruct-v0.2 - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: apache-2.0
pipeline_tag: text-generation
tags:
- finetuned
inference: true
widget:
- messages:
- role: user
cont... | [
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text-generation | transformers | 
# Unhinged RP with the spice of the previous 0.420 remixes, 32k context and vision capabilities.
# Thanks to the man, the my and legend Lewdiculus for the quants: https://huggingface.co/Lewdiculous... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Nitral-AI/Nyanade_Stunna-Maid-7B", "Nitral-AI/Laylewcules-7B-v.02"]} | ChaoticNeutrals/Nyanade_Stunna-Maid-7B-v0.2 | null | [
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"safetensors",
"gguf",
"mistral",
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"mergekit",
"merge",
"base_model:Nitral-AI/Nyanade_Stunna-Maid-7B",
"base_model:Nitral-AI/Laylewcules-7B-v.02",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T15:44:39+00:00 | [] | [] | TAGS
#transformers #safetensors #gguf #mistral #text-generation #mergekit #merge #base_model-Nitral-AI/Nyanade_Stunna-Maid-7B #base_model-Nitral-AI/Laylewcules-7B-v.02 #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| !image/jpeg
# Unhinged RP with the spice of the previous 0.420 remixes, 32k context and vision capabilities.
# Thanks to the man, the my and legend Lewdiculus for the quants: URL
If you want to use vision functionality:
* You must use the latest versions of Koboldcpp.
To use the multimodal capabilities of this m... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/NeuroDonu/HBDN-MoE-4x7B
<!-- 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": "NeuroDonu/HBDN-MoE-4x7B", "quantized_by": "mradermacher"} | mradermacher/HBDN-MoE-4x7B-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:NeuroDonu/HBDN-MoE-4x7B",
"license:apache-2.0",
"endpoints_compatible",
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"en"
] | TAGS
#transformers #gguf #en #base_model-NeuroDonu/HBDN-MoE-4x7B #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
codegemma-7b-it - bnb 4bits
- Model creator: https://huggingface.co/google/
- Original model: https://huggingface.co/google/... | {} | RichardErkhov/google_-_codegemma-7b-it-4bits | null | [
"transformers",
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"gemma",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-14T15:45:41+00:00 | [] | [] | TAGS
#transformers #safetensors #gemma #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
codegemma-7b-it - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
Repo model google/codegemma-7b-it is gated. You must be authenticated to access it.
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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-ncbi
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluati... | {"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "bert-finetuned-ncbi", "results": []}]} | pocession/bert-finetuned-ncbi | null | [
"transformers",
"tensorboard",
"safetensors",
"bert",
"token-classification",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T15:49:40+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #token-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
| bert-finetuned-ncbi
===================
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0584
* Precision: 0.8277
* Recall: 0.8729
* F1: 0.8497
* Accuracy: 0.9859
Model description
-----------------
More information needed
Intended u... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 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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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... | ChakuChidiya/ppo-Lunar-Lander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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null | null | https://civitai.com/models/398717/miyako-saitou-oshi-no-ko | {"license": "creativeml-openrail-m"} | LarryAIDraw/miyakoSaitou_DG | null | [
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null | null | https://civitai.com/models/398702/mai-sakurajima-rascal-does-not-dream | {"license": "creativeml-openrail-m"} | LarryAIDraw/maiS_DG | null | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Mistral-7B-Instruct-v0.2 - GGUF
- Model creator: https://huggingface.co/mistralai/
- Original model: https://huggingface.co/... | {} | RichardErkhov/mistralai_-_Mistral-7B-Instruct-v0.2-gguf | null | [
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#gguf #arxiv-2310.06825 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Mistral-7B-Instruct-v0.2 - GGUF
* Model creator: URL
* Original model: URL
Name: Mistral-7B-Instruct-v0.2.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.53GB
Name: Mistral-7B-Instruct-v0.2.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2.81GB
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
codegemma-7b-it - bnb 8bits
- Model creator: https://huggingface.co/google/
- Original model: https://huggingface.co/google/... | {} | RichardErkhov/google_-_codegemma-7b-it-8bits | null | [
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#transformers #safetensors #gemma #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
codegemma-7b-it - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
Repo model google/codegemma-7b-it is gated. You must be authenticated to access it.
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image-segmentation | 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. -->
# segformer-b2-seed-67-v1
This model is a fine-tuned version of [nvidia/mit-b3](https://huggingface.co/nvidia/mit-b3) on the unrea... | {"license": "other", "tags": ["vision", "image-segmentation", "generated_from_trainer"], "base_model": "nvidia/mit-b3", "model-index": [{"name": "segformer-b2-seed-67-v1", "results": []}]} | unreal-hug/segformer-b2-seed-67-v1 | null | [
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#transformers #safetensors #segformer #vision #image-segmentation #generated_from_trainer #base_model-nvidia/mit-b3 #license-other #endpoints_compatible #region-us
| segformer-b2-seed-67-v1
=======================
This model is a fine-tuned version of nvidia/mit-b3 on the unreal-hug/REAL\_DATASET\_SEG\_331 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4746
* Mean Iou: 0.2841
* Mean Accuracy: 0.3507
* Overall Accuracy: 0.6084
* Accuracy Unlabeled: n... | [
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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": []} | ishal/Mistral_sql_data | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ishal-sql
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "ishal-sql", "results": []}]} | ishal/ishal-sql | null | [
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| ishal-sql
=========
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0258
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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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. -->
# emotion-analysis-trans
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evalu... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "model-index": [{"name": "emotion-analysis-trans", "results": []}]} | erlend123/emotion-analysis-trans | null | [
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| emotion-analysis-trans
======================
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0950
* Accuracy: 0.9429
* F1: 0.9433
Model description
-----------------
More information needed
Intended uses & limitations
-------------... | [
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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": []} | IntellectusAI/mistral_finetune_ILSI | null | [
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text-generation | transformers |
# <b>AceGPT</b>
AceGPT is a fully fine-tuned generative text model collection based on LlaMA2, particularly in the
Arabic language domain. This is the repository for the version 1.5 of 13B-chat pre-trained model.
---
## Model Details
We have released the AceGPT family of large language models, which is a collection ... | {"language": ["ar", "zh", "en"], "license": "apache-2.0"} | FreedomIntelligence/AceGPT-v1.5-13B-Chat | null | [
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| **AceGPT**
==========
AceGPT is a fully fine-tuned generative text model collection based on LlaMA2, particularly in the
Arabic language domain. This is the repository for the version 1.5 of 13B-chat pre-trained model.
---
Model Details
-------------
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visual-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": []} | thdangtr/blip_recipe1m_instructions_v1 | null | [
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text-generation | transformers |
# A bagel, with everything (except DPO)
## Overview
This is a fine-tune of mistral-7b-v0.2 using the bagel v0.5 dataset.
See [bagel](https://github.com/jondurbin/bagel) for additional details on the datasets.
The DPO version will be available soon [here](https://huggingface.co/jondurbin/bagel-... | {"license": "apache-2.0", "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistry", "camel-ai/math", "camel-ai/physi... | hflog/jondurbin-bagel-7b-v0.5 | null | [
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"dataset:codeparrot/apps",
"dataset:facebook/belebele",
"dataset:bluemoon-fando... | null | 2024-04-14T16:05:18+00:00 | [] | [] | TAGS
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# A bagel, with everything (except DPO)
!bagel
## Overview
This is a fine-tune of mistral-7b-v0.2 using the bagel v0.5 dataset.
See bagel for additional details on the datasets.
The DPO version will be available soon here
### Data sources
There are many data sources used in the bagel models. See URL for more i... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/t8c88ya | 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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- Shared by [optional]:
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- License... | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
codegemma-7b-it - GGUF
- Model creator: https://huggingface.co/google/
- Original model: https://huggingface.co/google/codeg... | {} | RichardErkhov/google_-_codegemma-7b-it-gguf | null | [
"gguf",
"region:us"
] | null | 2024-04-14T16:07:06+00:00 | [] | [] | TAGS
#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
codegemma-7b-it - GGUF
* Model creator: URL
* Original model: URL
Name: codegemma-7b-it.Q2\_K.gguf, Quant method: Q2\_K, Size: 3.24GB
Name: codegemma-7b-it.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 3.54GB
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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. -->
# my_awesome_eli5_clm-model
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the eli5_category dataset... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "gpt2", "model-index": [{"name": "my_awesome_eli5_clm-model", "results": []}]} | hkoizumi27/my_awesome_eli5_clm-model | null | [
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| my\_awesome\_eli5\_clm-model
============================
This model is a fine-tuned version of gpt2 on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 3.5779
Model description
-----------------
More information needed
Intended uses & limitations
------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 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: 3.0",
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text-generation | transformers |
# <b>AceGPT</b>
AceGPT is a fully fine-tuned generative text model collection based on LlaMA2, particularly in the
Arabic language domain. This is the repository for the version 1.5 of 13B pre-trained model.
---
## Model Details
We have released the AceGPT family of large language models, which is a collection of fu... | {"language": ["ar", "zh", "en"], "license": "apache-2.0"} | FreedomIntelligence/AceGPT-v1.5-13B | null | [
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| **AceGPT**
==========
AceGPT is a fully fine-tuned generative text model collection based on LlaMA2, particularly in the
Arabic language domain. This is the repository for the version 1.5 of 13B pre-trained model.
---
Model Details
-------------
We have released the AceGPT family of large language models, whi... | [
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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. -->
# vi_en_envit5-base_conv_train
This model is a fine-tuned version of [VietAI/envit5-base](https://huggingface.co/VietAI/envit5-bas... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/envit5-base", "model-index": [{"name": "vi_en_envit5-base_conv_train", "results": []}]} | yuufong/vi_en_envit5-base_conv_train | null | [
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"region:us"
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|
# vi_en_envit5-base_conv_train
This model is a fine-tuned version of VietAI/envit5-base 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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null | transformers |
# Uploaded model
- **Developed by:** shubham11
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-it-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-it-bnb-4bit"} | shubham11/chainadapter | null | [
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|
# Uploaded model
- Developed by: shubham11
- License: apache-2.0
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This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-to-image | diffusers | # noracatXL_FCD
<Gallery />
## Trigger words
You should use `nora cat` to trigger the image generation.
You should use `first classic dress` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/NonameSister/NoracatXLFCD/tree/main) them in th... | {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "(score_9,score_8_up,score_7_up,score_6_up,score_5_up,score_4_up),best quality,masterpiece,uncensored BREAK", "parameters": {"negative_prompt": "score_4,score_5,score_6,source_pony,source_furry,monochrome,3d,pho... | NonameSister/NoracatXLFCD | null | [
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"stable-diffusion",
"lora",
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"base_model:stablediffusionapi/pony-diffusion-v6-xl",
"region:us"
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stablediffusionapi/pony-diffusion-v6-xl #region-us
| # noracatXL_FCD
<Gallery />
## Trigger words
You should use 'nora cat' to trigger the image generation.
You should use 'first classic dress' 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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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": []} | Juan21nino/Kenito-Modelo-Prueba | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# experiments
This model is a fine-tuned version of [4i-ai/Llama-2-7b-alpaca-es](https://huggingface.co/4i-ai/Llama-2-7b-alpaca-es... | {"license": "cc-by-nc-4.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "4i-ai/Llama-2-7b-alpaca-es", "model-index": [{"name": "experiments", "results": []}]} | Juan21nino/experiments | null | [
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|
# experiments
This model is a fine-tuned version of 4i-ai/Llama-2-7b-alpaca-es on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.0001
- eval_runtime: 4.2833
- eval_samples_per_second: 23.346
- eval_steps_per_second: 3.035
- epoch: 57.0
- step: 100
## Model description
... | [
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "JiazhenLiu01/falcon-test2"
tokenizer = AutoTokenizer.from_pretrained(mo... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | JiazhenLiu01/falcon-test2 | null | [
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"safetensors",
"autotrain",
"text-generation-inference",
"text-generation",
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"license:other",
"endpoints_compatible",
"region:us"
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#transformers #safetensors #autotrain #text-generation-inference #text-generation #peft #license-other #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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] |
text-generation | null |
## Llamacpp Quantizations of Wukong-0.1-Mistral-7B-v0.2
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2636">b2636</a> for quantization.
Original model: https://huggingface.co/RESMPDEV/Wukong-0.1-Mistral-7B-v0.2
All quants ... | {"license": "apache-2.0", "datasets": ["teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "m-a-p/Code-Feedback"], "pipeline_tag": "text-generation", "quantized_by": "bartowski"} | bartowski/Wukong-0.1-Mistral-7B-v0.2-GGUF | null | [
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"dataset:m-a-p/CodeFeedback-Filtered-Instruction",
"dataset:m-a-p/Code-Feedback",
"license:apache-2.0",
"region:us"
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| Llamacpp Quantizations of Wukong-0.1-Mistral-7B-v0.2
----------------------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
All quants made using imatrix option with dataset provided by Kalomaze here
Prompt format
-------------
No chat template speci... | [] | [
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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": []} | bdsaglam/llama-2-7b-chat-jerx-mini-peft-asia289x | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T16:20:13+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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": []} | GGital/blip2-opt-2.7b-pokemon-lora-pissa | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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- Model type:
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null | null |
chadscorer.pth aesthetic scorer. | {"license": "apache-2.0"} | primerecomfydev/chadscorer | null | [
"license:apache-2.0",
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reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sa... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "doom_health_gathering_supreme", "type": "doom_health_ga... | trsdimi/rl_course_vizdoom_health_gathering_supreme | null | [
"sample-factory",
"tensorboard",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-14T16:25:45+00:00 | [] | [] | TAGS
#sample-factory #tensorboard #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
A(n) APPO model trained on the doom_health_gathering_supreme environment.
This model was trained using Sample-Factory 2.0: URL
Documentation for how to use Sample-Factory can be found at URL
## Downloading the model
After installing Sample-Factory, download the model with:
## Using the model
To run the mod... | [
"## Downloading the model\n\nAfter installing Sample-Factory, download the model with:",
"## Using the model\n\nTo run the model after download, use the 'enjoy' script corresponding to this environment:\n\n\n\nYou can also upload models to the Hugging Face Hub using the same script with the '--push_to_hub' flag.\... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/CausalLM/34b-beta2
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/34b-beta2-i1-GGUF
## U... | {"language": ["en"], "license": "gpl-3.0", "library_name": "transformers", "base_model": "CausalLM/34b-beta2", "quantized_by": "mradermacher"} | mradermacher/34b-beta2-GGUF | null | [
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"en"
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#transformers #gguf #en #base_model-CausalLM/34b-beta2 #license-gpl-3.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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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": []} | yashdkadam/gemma-Code-Instruct-Finetune-test | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"1910.09700"
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#transformers #safetensors #gemma #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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": []} | namratanwani/finetuned-openai-summaries | 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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- Model type:
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null | null |
# A bagel, with everything (except DPO)
## Overview
This is a fine-tune of mistral-7b-v0.2 using the bagel v0.5 dataset.
See [bagel](https://github.com/jondurbin/bagel) for additional details on the datasets.
The DPO version will be available soon [here](https://huggingface.co/jondurbin/bagel-... | {"license": "apache-2.0", "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistry", "camel-ai/math", "camel-ai/physi... | LoneStriker/bagel-7b-v0.5-GGUF | null | [
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"dataset:facebook/belebele",
"dataset:bluemoon-fandom-1-1-rp-cleaned",
"dataset:boolq",
"dataset:camel-ai/b... | null | 2024-04-14T16:33:45+00:00 | [] | [] | TAGS
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# A bagel, with everything (except DPO)
!bagel
## Overview
This is a fine-tune of mistral-7b-v0.2 using the bagel v0.5 dataset.
See bagel for additional details on the datasets.
The DPO version will be available soon here
### Data sources
There are many data sources used in the bagel models. See URL for more i... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
codegemma-7b - bnb 4bits
- Model creator: https://huggingface.co/google/
- Original model: https://huggingface.co/google/cod... | {} | RichardErkhov/google_-_codegemma-7b-4bits | null | [
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#transformers #safetensors #gemma #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
codegemma-7b - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
Repo model google/codegemma-7b is gated. You must be authenticated to access it.
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text2text-generation | transformers | ## du-kang/custom4
- This is T5 model for korean text summarization.
- Finetuned with a dataset. Specifically, it is described below.
- [Korean Book Summarization Dataset(도서자료 요약)](https://www.aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&aihubDataSe=realm&dataSetSn=93)
-
## Usage (HuggingFace Transf... | {"license": "mit"} | du-kang/custom4 | null | [
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"t5",
"text2text-generation",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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#transformers #pytorch #t5 #text2text-generation #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| ## du-kang/custom4
- This is T5 model for korean text summarization.
- Finetuned with a dataset. Specifically, it is described below.
- Korean Book Summarization Dataset(도서자료 요약)
-
## Usage (HuggingFace Transformers)
'''python
import nltk
nltk.download('punkt')
from transformers import AutoTokenizer, AutoModelForS... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
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# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
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null | null |
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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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": []} | tomaszki/stablelm-33-a | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/CausalLM/34b-beta
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/34b-beta-i1-GGUF
## Usa... | {"language": ["en"], "license": "gpl-3.0", "library_name": "transformers", "base_model": "CausalLM/34b-beta", "quantized_by": "mradermacher"} | mradermacher/34b-beta-GGUF | null | [
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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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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... | Frankhuhu/SpaceInvaders | null | [
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#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 | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
codegemma-7b - bnb 8bits
- Model creator: https://huggingface.co/google/
- Original model: https://huggingface.co/google/cod... | {} | RichardErkhov/google_-_codegemma-7b-8bits | null | [
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#transformers #safetensors #gemma #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
codegemma-7b - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
Repo model google/codegemma-7b is gated. You must be authenticated to access it.
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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-finetuned
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "whisper-small-finetuned", "results": []}]} | abbenedek/whisper-small-finetuned | null | [
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| whisper-small-finetuned
=======================
This model is a fine-tuned version of openai/whisper-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.8104
* Wer: 1.7500
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
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text-generation | transformers |
# A bagel, with everything (except DPO)
## Overview
This is a fine-tune of mistral-7b-v0.2 using the bagel v0.5 dataset.
See [bagel](https://github.com/jondurbin/bagel) for additional details on the datasets.
The DPO version will be available soon [here](https://huggingface.co/jondurbin/bagel-... | {"license": "apache-2.0", "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistry", "camel-ai/math", "camel-ai/physi... | LoneStriker/bagel-7b-v0.5-3.0bpw-h6-exl2 | null | [
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# A bagel, with everything (except DPO)
!bagel
## Overview
This is a fine-tune of mistral-7b-v0.2 using the bagel v0.5 dataset.
See bagel for additional details on the datasets.
The DPO version will be available soon here
### Data sources
There are many data sources used in the bagel models. See URL for more i... | [
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text-generation | transformers |
# A bagel, with everything (except DPO)
## Overview
This is a fine-tune of mistral-7b-v0.2 using the bagel v0.5 dataset.
See [bagel](https://github.com/jondurbin/bagel) for additional details on the datasets.
The DPO version will be available soon [here](https://huggingface.co/jondurbin/bagel-... | {"license": "apache-2.0", "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistry", "camel-ai/math", "camel-ai/physi... | LoneStriker/bagel-7b-v0.5-4.0bpw-h6-exl2 | null | [
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"dataset:bluemoon-fando... | null | 2024-04-14T16:52:48+00:00 | [] | [] | TAGS
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# A bagel, with everything (except DPO)
!bagel
## Overview
This is a fine-tune of mistral-7b-v0.2 using the bagel v0.5 dataset.
See bagel for additional details on the datasets.
The DPO version will be available soon here
### Data sources
There are many data sources used in the bagel models. See URL for more i... | [
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text-generation | transformers |
# A bagel, with everything (except DPO)
## Overview
This is a fine-tune of mistral-7b-v0.2 using the bagel v0.5 dataset.
See [bagel](https://github.com/jondurbin/bagel) for additional details on the datasets.
The DPO version will be available soon [here](https://huggingface.co/jondurbin/bagel-... | {"license": "apache-2.0", "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistry", "camel-ai/math", "camel-ai/physi... | LoneStriker/bagel-7b-v0.5-5.0bpw-h6-exl2 | null | [
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"dataset:facebook/belebele",
"dataset:bluemoon-fando... | null | 2024-04-14T16:54:33+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #dataset-ai2_arc #dataset-allenai/ultrafeedback_binarized_cleaned #dataset-argilla/distilabel-intel-orca-dpo-pairs #dataset-jondurbin/airoboros-3.2 #dataset-codeparrot/apps #dataset-facebook/belebele #dataset-bluemoon-fandom-1-1-rp-cleaned #dataset-boolq #datase... |
# A bagel, with everything (except DPO)
!bagel
## Overview
This is a fine-tune of mistral-7b-v0.2 using the bagel v0.5 dataset.
See bagel for additional details on the datasets.
The DPO version will be available soon here
### Data sources
There are many data sources used in the bagel models. See URL for more i... | [
"# A bagel, with everything (except DPO)\n\n!bagel",
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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": []} | yuhuixu/mistral-7b-sft-beta-experts-v0.1 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T16:56:25+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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text-generation | transformers |
# A bagel, with everything (except DPO)
## Overview
This is a fine-tune of mistral-7b-v0.2 using the bagel v0.5 dataset.
See [bagel](https://github.com/jondurbin/bagel) for additional details on the datasets.
The DPO version will be available soon [here](https://huggingface.co/jondurbin/bagel-... | {"license": "apache-2.0", "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistry", "camel-ai/math", "camel-ai/physi... | LoneStriker/bagel-7b-v0.5-6.0bpw-h6-exl2 | null | [
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"dataset:codeparrot/apps",
"dataset:facebook/belebele",
"dataset:bluemoon-fando... | null | 2024-04-14T16:56:36+00:00 | [] | [] | TAGS
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# A bagel, with everything (except DPO)
!bagel
## Overview
This is a fine-tune of mistral-7b-v0.2 using the bagel v0.5 dataset.
See bagel for additional details on the datasets.
The DPO version will be available soon here
### Data sources
There are many data sources used in the bagel models. See URL for more i... | [
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text-to-image | diffusers |
Since converting from PyTorch is slower, I upload the converted flax model here.
```
pipe, params = diffusers.pipelines.stable_diffusion.FlaxStableDiffusionPipeline.from_pretrained("cfu/sd-turbo-flax")
``` | {"language": ["en"], "license": "mit", "library_name": "diffusers", "tags": ["flax"], "base_model": "stabilityai/sd-turbo", "pipeline_tag": "text-to-image"} | cfu/sd-turbo-flax | null | [
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"text-to-image",
"en",
"base_model:stabilityai/sd-turbo",
"license:mit",
"diffusers:FlaxStableDiffusionPipeline",
"region:us"
] | null | 2024-04-14T16:58:03+00:00 | [] | [
"en"
] | TAGS
#diffusers #flax #text-to-image #en #base_model-stabilityai/sd-turbo #license-mit #diffusers-FlaxStableDiffusionPipeline #region-us
|
Since converting from PyTorch is slower, I upload the converted flax model here.
| [] | [
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text-generation | transformers |
# A bagel, with everything (except DPO)
## Overview
This is a fine-tune of mistral-7b-v0.2 using the bagel v0.5 dataset.
See [bagel](https://github.com/jondurbin/bagel) for additional details on the datasets.
The DPO version will be available soon [here](https://huggingface.co/jondurbin/bagel-... | {"license": "apache-2.0", "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistry", "camel-ai/math", "camel-ai/physi... | LoneStriker/bagel-7b-v0.5-8.0bpw-h8-exl2 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"dataset:ai2_arc",
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"dataset:jondurbin/airoboros-3.2",
"dataset:codeparrot/apps",
"dataset:facebook/belebele",
"dataset:bluemoon-fando... | null | 2024-04-14T16:59:01+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #dataset-ai2_arc #dataset-allenai/ultrafeedback_binarized_cleaned #dataset-argilla/distilabel-intel-orca-dpo-pairs #dataset-jondurbin/airoboros-3.2 #dataset-codeparrot/apps #dataset-facebook/belebele #dataset-bluemoon-fandom-1-1-rp-cleaned #dataset-boolq #datase... |
# A bagel, with everything (except DPO)
!bagel
## Overview
This is a fine-tune of mistral-7b-v0.2 using the bagel v0.5 dataset.
See bagel for additional details on the datasets.
The DPO version will be available soon here
### Data sources
There are many data sources used in the bagel models. See URL for more i... | [
"# A bagel, with everything (except DPO)\n\n!bagel",
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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. -->
# vi_en_envit5-base_doc_train
This model is a fine-tuned version of [VietAI/envit5-base](https://huggingface.co/VietAI/envit5-base... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/envit5-base", "model-index": [{"name": "vi_en_envit5-base_doc_train", "results": []}]} | yuufong/vi_en_envit5-base_doc_train | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:VietAI/envit5-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T17:03:01+00:00 | [] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/envit5-base #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# vi_en_envit5-base_doc_train
This model is a fine-tuned version of VietAI/envit5-base 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 hyperpa... | [
"# vi_en_envit5-base_doc_train\n\nThis model is a fine-tuned version of VietAI/envit5-base on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training proce... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Ppoyaa/StarMonarch-7B-Instruct-v0.1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "Ppoyaa/StarMonarch-7B-Instruct-v0.1", "quantized_by": "mradermacher"} | mradermacher/StarMonarch-7B-Instruct-v0.1-GGUF | null | [
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"en",
"base_model:Ppoyaa/StarMonarch-7B-Instruct-v0.1",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T17:04:49+00:00 | [] | [
"en"
] | TAGS
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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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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": []} | abbenedek/whispertokenizer | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T17:05:10+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
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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": []} | Juan21nino/Prueba-Kenito | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T17:05:13+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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"# Model Card for Model ID",
"## Model Details",
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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": []} | bdsaglam/llama-2-7b-chat-jerx-mini-peft-9beo5wz6 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T17:06:55+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
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"# Model Card for Model ID",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-hf-platypus_vxxiii-chat-added_lamini
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggin... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral-7b-hf-platypus_vxxiii-chat-added_lamini", "results": []}]} | NassimB/mistral-7b-hf-platypus_vxxiii-chat-added_lamini | null | [
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"trl",
"sft",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-14T17:09:47+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# mistral-7b-hf-platypus_vxxiii-chat-added_lamini
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 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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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | ashleybishop/falcon-7b-tomi_v2 | null | [
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"safetensors",
"trl",
"sft",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
codegemma-7b - GGUF
- Model creator: https://huggingface.co/google/
- Original model: https://huggingface.co/google/codegemm... | {} | RichardErkhov/google_-_codegemma-7b-gguf | null | [
"gguf",
"region:us"
] | null | 2024-04-14T17:14:28+00:00 | [] | [] | TAGS
#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
codegemma-7b - GGUF
* Model creator: URL
* Original model: URL
Name: codegemma-7b.Q2\_K.gguf, Quant method: Q2\_K, Size: 3.24GB
Name: codegemma-7b.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 3.54GB
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text-generation | null |
## Exllama v2 Quantizations of Wukong-0.1-Mistral-7B-v0.2
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.18">turboderp's ExLlamaV2 v0.0.18</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each bra... | {"license": "apache-2.0", "datasets": ["teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "m-a-p/Code-Feedback"], "pipeline_tag": "text-generation", "quantized_by": "bartowski"} | bartowski/Wukong-0.1-Mistral-7B-v0.2-exl2 | null | [
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"dataset:m-a-p/CodeFeedback-Filtered-Instruction",
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| Exllama v2 Quantizations of Wukong-0.1-Mistral-7B-v0.2
------------------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.18 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
Each branch contains an individual bits per... | [] | [
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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... | adekhovich/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
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#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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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": []} | HenryCai1129/LlamaAdapter-llama2-happy-100 | null | [
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|
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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sentence-similarity | sentence-transformers |
# qminh369/datn-dense_embedding-giao_thong_duong_bo_2008
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transfo... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | qminh369/datn-dense_embedding-giao_thong_duong_bo_2008 | null | [
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|
# qminh369/datn-dense_embedding-giao_thong_duong_bo_2008
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 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 sentenc... | [
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image-classification | transformers.js |
WIP
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using [🤗 Optimum](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX we... | {"license": "cc-by-4.0", "library_name": "transformers.js", "tags": ["image-classification", "adult-content", "onlyfans", "twitter", "onnx"], "pipeline_tag": "image-classification"} | dominguesm/onlyfans-content-identify | null | [
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"adult-content",
"onlyfans",
"twitter",
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#transformers.js #onnx #vit #image-classification #adult-content #onlyfans #twitter #license-cc-by-4.0 #region-us
|
WIP
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named 'onnx').
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text-generation | transformers | # Misted-v2-7B
This is [Walmart-the-bag/Misted-v2-7B model](https://huggingface.co/Walmart-the-bag/Misted-v2-7B) quantized to 4bit HQQ
# Usage
To run this quantization, you can use the following code.
```bash
pip install git+https://github.com/mobiusml/hqq/ transformers -U
```
```python
model_id = 'HQQHouse/Misted-v2... | {"license": "cc", "inference": false} | HQQHouse/Misted-v2-7B-hqq | null | [
"transformers",
"mistral",
"text-generation",
"conversational",
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#transformers #mistral #text-generation #conversational #license-cc #autotrain_compatible #text-generation-inference #region-us
| # Misted-v2-7B
This is Walmart-the-bag/Misted-v2-7B model quantized to 4bit HQQ
# Usage
To run this quantization, you can use the following code.
# Read About HQQ
URL
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] |
null | transformers |
# Uploaded model
- **Developed by:** cvzion
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/mai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/tinyllama-bnb-4bit"} | cvzion/gguf-TINYLLAMA-dqg-v6a-q8_0 | null | [
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|
# Uploaded model
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- License: apache-2.0
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<img src="URL width="200"/>
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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": []} | m-gopichand/moderator | null | [
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"safetensors",
"deberta-v2",
"text-classification",
"arxiv:1910.09700",
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|
# Model Card for Model ID
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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": []} | SJSU-SP24-DATA298-T3/mistral-7b-qlora-augmented-finance | null | [
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# Model Card for Model ID
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null | transformers |
# Uploaded model
- **Developed by:** cvzion
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/mai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/tinyllama-bnb-4bit"} | cvzion/gguf-TINYLLAMA-dqg-v7a-q8_0 | null | [
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# Uploaded model
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- License: apache-2.0
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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": []} | Juan21nino/Prueba-Modelo-3 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | Juan21nino/Prueba-Kenito-3 | null | [
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# Model Card for Model ID
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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. -->
# sentiment-analysis-whatsapp
This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/d... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/deberta-v3-base", "model-index": [{"name": "sentiment-analysis-whatsapp", "results": []}]} | aliciiavs/sentiment-analysis-whatsapp | null | [
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| sentiment-analysis-whatsapp
===========================
This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2229
* Accuracy: {'accuracy': 0.929}
* F1 Macro: 0.9285
Model description
-----------------
More infor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 99\n* gradient\\_accumulation\\_steps: 5\n* total\\_train\\_batch\\_size: 320\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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": []} | zzttbrdd/sn6_07m | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/zephyr-orpo-141b-A35b-v0.1-GGUF-smashed | null | [
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#gguf #pruna-ai #region-us
|
[](URL target=)
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL
Simply make AI models cheaper, smaller, faster, and greener!
============================================================
* Give a thumbs up if you like this model!
* Contact us and tell us which model to compress n... | [
"### How to load this model in Python code, using llama-cpp-python\n\n\nFor full documentation, please see: llama-cpp-python docs.",
"#### First install the package\n\n\nRun one of the following commands, according to your system:",
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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": []} | zzttbrdd/sn6_03m | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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": []} | zzttbrdd/sn6_09m | null | [
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# Model Card for Model ID
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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-base-finetuned
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) o... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-base", "model-index": [{"name": "whisper-base-finetuned", "results": []}]} | abbenedek/whisper-base-finetuned2 | null | [
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"license:apache-2.0",
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"region:us"
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#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #base_model-openai/whisper-base #license-apache-2.0 #endpoints_compatible #region-us
| whisper-base-finetuned
======================
This model is a fine-tuned version of openai/whisper-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0089
* Wer: 1.125
Model description
-----------------
More information needed
Intended uses & limitations
------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-06\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps... | [
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null | transformers |
# Uploaded model
- **Developed by:** farhananis005
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "gguf"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | farhananis005/mistral7b__roneneldan-TinyStories7 | null | [
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|
# Uploaded model
- Developed by: farhananis005
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-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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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Phind/Phind-CodeLlama-34B-v2
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sho... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["code llama"], "base_model": "Phind/Phind-CodeLlama-34B-v2", "quantized_by": "mradermacher"} | mradermacher/Phind-CodeLlama-34B-v2-GGUF | null | [
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#transformers #gguf #code llama #en #base_model-Phind/Phind-CodeLlama-34B-v2 #license-llama2 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_idpo_same_scratch_iter_3
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.001_idpo_same_scratch_iter_3", "results": []}]} | ShenaoZ/0.001_idpo_same_scratch_iter_3 | null | [
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"license:mit",
"autotrain_compatible",
"endpoints_compatible... | null | 2024-04-14T17:53:31+00:00 | [] | [] | TAGS
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|
# 0.001_idpo_same_scratch_iter_3
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta 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
## Tra... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore info... | [
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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. -->
# vi_en_envit5-base_docs_news_train
This model is a fine-tuned version of [VietAI/envit5-base](https://huggingface.co/VietAI/envit... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/envit5-base", "model-index": [{"name": "vi_en_envit5-base_docs_news_train", "results": []}]} | yuufong/vi_en_envit5-base_docs_news_train | null | [
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|
# vi_en_envit5-base_docs_news_train
This model is a fine-tuned version of VietAI/envit5-base 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 h... | [
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null | litgpt, transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
Instruction Finetuned Mistral-7B. Used for Duke AI Masters of Engineering Chatbot.
## Sources
<!-- Provide the basic links for the model. -->
- **Repository:** https://github.com/tommymmcguire/Duke-AI-MEng-chatbot
- **Demo:** ht... | {"library_name": "litgpt, transformers", "datasets": "AlpacaGPT4"} | mkeohane01/mistral-instruct-590 | null | [
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] | null | 2024-04-14T17:54:11+00:00 | [] | [] | TAGS
#litgpt, transformers #safetensors #mistral #dataset-AlpacaGPT4 #endpoints_compatible #8-bit #region-us
|
# Model Card for Model ID
Instruction Finetuned Mistral-7B. Used for Duke AI Masters of Engineering Chatbot.
## Sources
- Repository: URL
- Demo: URL
## Uses
input:
payload = inputs {
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query: "QUERY"
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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. -->
# sentiment-analysis-whatsapp2
This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/deberta-v3-base", "model-index": [{"name": "sentiment-analysis-whatsapp2", "results": []}]} | aliciiavs/sentiment-analysis-whatsapp2 | null | [
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|
# sentiment-analysis-whatsapp2
This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.1871
- eval_accuracy: {'accuracy': 0.9445}
- eval_f1_macro: 0.9442
- eval_runtime: 4.3692
- eval_samples_per_second: 457.751
-... | [
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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 En 3
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on ... | {"language": ["hi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small En 3", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automati... | glenn2/whisper-small-b2 | null | [
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| Whisper Small En 3
==================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 3.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5263
* Wer: 103.0474
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: 16\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* lr\\_scheduler\\_warmup\\_steps:... | [
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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. -->
# squad_qa_model
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation se... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "squad_qa_model", "results": []}]} | horyekhunley/squad_qa_model | null | [
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| squad\_qa\_model
================
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5874
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
T... | [
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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": []} | glenn2/whisper-small-t | null | [
"transformers",
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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": []} | rmrafailov/TLDR-Pythia6.9B-SFT | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"## Model Details",
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"TAGS\n#transformers #safetensors #gpt_neox #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pus... | [
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sentence-similarity | sentence-transformers |
# ChafikAiEng/multilingual-e5-base-finetuned-studytours
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-Transform... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | ChafikAiEng/multilingual-e5-base-finetuned-studytours | null | [
"sentence-transformers",
"safetensors",
"xlm-roberta",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T18:01:36+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #xlm-roberta #feature-extraction #sentence-similarity #endpoints_compatible #region-us
|
# ChafikAiEng/multilingual-e5-base-finetuned-studytours
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-... | [
"# ChafikAiEng/multilingual-e5-base-finetuned-studytours\n\nThis 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)\n\nUsing this model becomes easy when you have... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | Nikhil058/ppo-pyramidtraining | null | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | null | 2024-04-14T18:02:02+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us
|
# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where ... | [
"# ppo Agent playing Pyramids\n This is a trained model of a ppo agent playing Pyramids\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutori... | [
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201
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"TAGS\n#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us \n# ppo Agent playing Pyramids\n This is a trained model of a ppo agent playing Pyramids\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\... |
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... | amine-01/LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-14T18:05:20+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
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
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"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add your code"
] |
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