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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. -->
# dpo_helfulhelpful_gamma0.0_beta0.1_subset20000_modelmistral7b_maxsteps5000_bz8_lr1e-05
This model is a fine-tuned version of [mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "dpo_helfulhelpful_gamma0.0_beta0.1_subset20000_modelmistral7b_maxsteps5000_bz8_lr1e-05", "results": []}]} | Holarissun/dpo_helfulhelpful_gamma0.0_beta0.1_subset20000_modelmistral7b_maxsteps5000_bz8_lr1e-05 | null | [
"peft",
"safetensors",
"trl",
"dpo",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-14T10:13:28+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# dpo_helfulhelpful_gamma0.0_beta0.1_subset20000_modelmistral7b_maxsteps5000_bz8_lr1e-05
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
Mo... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="tarpalsus/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.54 +/... | tarpalsus/q-Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-14T10:14:52+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# fluent-noisy-wav2vec
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-bas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "fluent-noisy-wav2vec", "results": []}]} | holmes26/fluent-noisy-wav2vec | null | [
"transformers",
"tensorboard",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"base_model:facebook/wav2vec2-base",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T10:17:54+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #base_model-facebook/wav2vec2-base #license-apache-2.0 #endpoints_compatible #region-us
| fluent-noisy-wav2vec
====================
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0129
* Wer: 0.2656
Model description
-----------------
More information needed
Intended uses & limitations
----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\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* lr\\_scheduler\\_warmup\\_steps:... | [
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automatic-speech-recognition | transformers |
# wav2vec2-base-asr
This model is a fine-tuned version of [rinna/japanese-wav2vec2-base](https://huggingface.co/rinna/japanese-wav2vec2-base) on the [common_voice_11_0 dataset](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0/viewer/ja) for ASR tasks.
This model can only predict Hiragana.
## Ack... | {"language": ["ja"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer", "cer"], "model-index": [{"name": "wav2vec2-base-japanese-asr", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Speech Recognition"}, "dataset"... | TKU410410103/wav2vec2-base-japanese-asr | null | [
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| wav2vec2-base-asr
=================
This model is a fine-tuned version of rinna/japanese-wav2vec2-base on the common\_voice\_11\_0 dataset for ASR tasks.
This model can only predict Hiragana.
Acknowledgments
---------------
This model's fine-tuning approach was inspired by and references the training methodolog... | [
"### Training hyperparameters\n\n\nThe training hyperparameters remained consistent throughout the fine-tuning process:\n\n\n* learning\\_rate: 1e-4\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* num\\_train\\_epochs: 20\n* warmup\\_steps: 2000\n* lr\\_sc... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ibivibiv/aegolius-acadicus-24b-v2
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/aegoliu... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "moerge"], "base_model": "ibivibiv/aegolius-acadicus-24b-v2", "quantized_by": "mradermacher"} | mradermacher/aegolius-acadicus-24b-v2-GGUF | null | [
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] | TAGS
#transformers #gguf #moe #moerge #en #base_model-ibivibiv/aegolius-acadicus-24b-v2 #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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] |
text-generation | transformers |
# karasu-1.1B-slerp_reverse
karasu-1.1B-slerp_reverse is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [lightblue/karasu-1.1B](https://huggingface.co/lightblue/karasu-1.1B)
* [niryuu/Karasu-1.1b-chat-vector](https://huggi... | {"tags": ["merge", "mergekit", "lazymergekit", "lightblue/karasu-1.1B", "niryuu/Karasu-1.1b-chat-vector"], "base_model": ["lightblue/karasu-1.1B", "niryuu/Karasu-1.1b-chat-vector"]} | aipib/karasu-1.1B-slerp_reverse | null | [
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"text-... | null | 2024-04-14T10:26:38+00:00 | [] | [] | TAGS
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|
# karasu-1.1B-slerp_reverse
karasu-1.1B-slerp_reverse is a merge of the following models using LazyMergekit:
* lightblue/karasu-1.1B
* niryuu/Karasu-1.1b-chat-vector
## 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": []} | andreidima/Llama-2-13b-Romanian-qlora | null | [
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"region:us"
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"1910.09700"
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#transformers #safetensors #llama #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]:
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text-generation | transformers |
# Shadowm7expMeliodaspercival_01_experiment26t3q-7B
Shadowm7expMeliodaspercival_01_experiment26t3q-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: mahiatlinux/... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/Shadowm7expMeliodaspercival_01_experiment26t3q-7B | null | [
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|
# Shadowm7expMeliodaspercival_01_experiment26t3q-7B
Shadowm7expMeliodaspercival_01_experiment26t3q-7B is an automated merge created by Maxime Labonne using the following configuration.
## 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": []} | DuongTrongChi/gemma_custom_tokenizor | null | [
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"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
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"text-generation-inference",
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"1910.09700"
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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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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | MD1998/FLAN-T5-V1 | null | [
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | maviced/practica3 | null | [
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video-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# videomae-base-finetuned-ucf101-subset
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-N... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MCG-NJU/videomae-base", "model-index": [{"name": "videomae-base-finetuned-ucf101-subset", "results": []}]} | lystar/videomae-base-finetuned-ucf101-subset | null | [
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| videomae-base-finetuned-ucf101-subset
=====================================
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset.
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* Loss: 1.9178
* Accuracy: 0.3548
Model description
-----------------
More information needed
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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": []} | ChitteshKK-hf/mistral_7b_guanaco | null | [
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text-generation | transformers |
# Model Card for Mistral-7B-Instruct-v0.2
The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.2.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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. -->
# distilbertfinetuneHS5E8BHLRVHS
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbertfinetuneHS5E8BHLRVHS", "results": []}]} | KarthikAlagarsamy/distilbertfinetuneHS5E8BHLRVHS | null | [
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| distilbertfinetuneHS5E8BHLRVHS
==============================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
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* Loss: 1.6647
Model description
-----------------
More information needed
Intended uses & limitations
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text-generation | transformers |
# Uploaded model
- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** LeroyDyer/Mixtral_AI_CyberTron_Ultra
# What does he NOT KNOW ! that is the question!
### MOTTO FOR MODEL!
## Models are the same as loras , take them with light weight they are like tablets of knowledge!
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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": []} | mogesa/my-tokenizer | null | [
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null | transformers |
# Uploaded model
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- **Finetuned from model :** LeroyDyer/Mixtral_AI_CyberTron_Ultra
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[<img src="https://raw.githubusercontent.com/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "LeroyDyer/Mixtral_AI_CyberTron_Ultra"} | LeroyDyer/Brain_3_0_LORA | null | [
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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-b0-finetuned-segments-sidewalk-2
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/m... | {"license": "other", "tags": ["vision", "image-segmentation", "generated_from_trainer"], "base_model": "nvidia/mit-b0", "model-index": [{"name": "segformer-b0-finetuned-segments-sidewalk-2", "results": []}]} | diegola123/segformer-b0-finetuned-segments-sidewalk-2 | null | [
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"endpoints_compatible",
"region:us"
] | null | 2024-04-14T11:03:41+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #segformer #vision #image-segmentation #generated_from_trainer #base_model-nvidia/mit-b0 #license-other #endpoints_compatible #region-us
| segformer-b0-finetuned-segments-sidewalk-2
==========================================
This model is a fine-tuned version of nvidia/mit-b0 on the segments/sidewalk-semantic dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1850
* Mean Iou: 0.0074
* Mean Accuracy: 0.0858
* Overall Accuracy: ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-06\n* train\\_batch\\_size: 6\n* eval\\_batch\\_size: 6\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 40",
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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. -->
# ShaderLLM-CodeLlama-13b-it
This model is a fine-tuned version of [codellama/CodeLlama-13b-Instruct-hf](https://huggingface.co/co... | {"license": "llama2", "tags": ["trl", "sft", "unsloth", "generated_from_trainer", "unsloth"], "datasets": ["generator"], "base_model": "codellama/CodeLlama-13b-Instruct-hf", "model-index": [{"name": "ShaderLLM-CodeLlama-13b-it", "results": []}]} | seanmemery/ShaderLLM-CodeLlama-13b-it | null | [
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"llama",
"text-generation",
"trl",
"sft",
"unsloth",
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"base_model:codellama/CodeLlama-13b-Instruct-hf",
"license:llama2",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-infere... | null | 2024-04-14T11:06:23+00:00 | [] | [] | TAGS
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| ShaderLLM-CodeLlama-13b-it
==========================
This model is a fine-tuned version of codellama/CodeLlama-13b-Instruct-hf on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7616
Model description
-----------------
More information needed
Intended uses & limitati... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0025\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: polynomial\n* num\\_epochs: 2",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Vezora/Narwhal-7b-v3
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a w... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "Vezora/Narwhal-7b-v3", "quantized_by": "mradermacher"} | mradermacher/Narwhal-7b-v3-GGUF | null | [
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"gguf",
"en",
"base_model:Vezora/Narwhal-7b-v3",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T11:06:57+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-Vezora/Narwhal-7b-v3 #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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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **CartPole-v1**
This is a trained model of a **PPO** agent playing **CartPole-v1**
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 import... | {"library_name": "stable-baselines3", "tags": ["CartPole-v1", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"... | SubhasishSaha/ppo-cart-pole-sb3 | null | [
"stable-baselines3",
"CartPole-v1",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-14T11:08:28+00:00 | [] | [] | TAGS
#stable-baselines3 #CartPole-v1 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing CartPole-v1
This is a trained model of a PPO agent playing CartPole-v1
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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"## Usage (with Stable-baselines3)\nTODO: Add your code"
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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. -->
# amazon_kindle_sentiment_analysis_definitivo
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/ber... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "amazon_kindle_sentiment_analysis_definitivo", "results": []}]} | denise227/amazon_kindle_sentiment_analysis_definitivo | null | [
"transformers",
"tensorboard",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:bert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T11:08:43+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
| amazon\_kindle\_sentiment\_analysis\_definitivo
===============================================
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: 0.9897
* Accuracy: 0.585
Model description
-----------------
More inform... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 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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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": []} | OsakanaTeishoku/mixtral_4x300m_dummy | null | [
"transformers",
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"mixtral",
"text-generation",
"custom_code",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T11:12:02+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #custom_code #arxiv-1910.09700 #autotrain_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | unrented5443/7gqog17 | null | [
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"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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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/ibivibiv/aegolius-acadicus-34b-v3
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/aegoliu... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe"], "base_model": "ibivibiv/aegolius-acadicus-34b-v3", "quantized_by": "mradermacher"} | mradermacher/aegolius-acadicus-34b-v3-i1-GGUF | null | [
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"base_model:ibivibiv/aegolius-acadicus-34b-v3",
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"region:us"
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] | TAGS
#transformers #gguf #moe #en #base_model-ibivibiv/aegolius-acadicus-34b-v3 #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. ... | [] | [
"TAGS\n#transformers #gguf #moe #en #base_model-ibivibiv/aegolius-acadicus-34b-v3 #license-apache-2.0 #endpoints_compatible #region-us \n"
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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... | Jones189/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-14T11:26:29+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
null | transformers |
# Uploaded model
- **Developed by:** sbawa
- **License:** apache-2.0
- **Finetuned from model :** TinyLlama/TinyLlama-1.1B-Chat-v1.0
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | sbawa/elysa-beta-gguf | null | [
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"unsloth",
"en",
"base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T11:27:14+00:00 | [] | [
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|
# Uploaded model
- Developed by: sbawa
- License: apache-2.0
- Finetuned from model : TinyLlama/TinyLlama-1.1B-Chat-v1.0
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# Uploaded model
- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** LeroyDyer/Mixtral_AI_CyberTron_Ultra
### Ok Its a Great MODEL !
Highly Math Trained As well as many TextBooks and Lessons Highly fit datasets as well as Coding Datasets highly tuned!
This model has absor... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "code", "medical ", "farmer", "doctor", "Mega-Series", "Cyber-Series", "Role-Play", "Self-Rag", "ThinkingBot"], "datasets": ["gretelai/synthetic_text_to_sql", ... | hflog/LeroyDyer-Mixtral_AI_CyberTron_Ultra | null | [
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# Uploaded model
- Developed by: LeroyDyer
- License: apache-2.0
- Finetuned from model : LeroyDyer/Mixtral_AI_CyberTron_Ultra
### Ok Its a Great MODEL !
Highly Math Trained As well as many TextBooks and Lessons Highly fit datasets as well as Coding Datasets highly tuned!
This model has absorbed all its ... | [
"# Uploaded model\n\n- Developed by: LeroyDyer\n- License: apache-2.0\n- Finetuned from model : LeroyDyer/Mixtral_AI_CyberTron_Ultra",
"### Ok Its a Great MODEL !\n\n\nHighly Math Trained As well as many TextBooks and Lessons Highly fit datasets as well as Coding Datasets highly tuned! \n\nThis model has absorb... | [
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null | transformers |
# LeroyDyer/Mixtral_AI_CyberTron_Ultra-Q4_K_S-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_CyberTron_Ultra`](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberTron_Ultra) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "code", "medical ", "farmer", "doctor", "Mega-Series", "Cyber-Series", "Role-Play", "Self-Rag", "ThinkingBot", "llama-cpp", "gguf-my-repo"], "datasets": ["gret... | LeroyDyer/Mixtral_AI_CyberTron_Ultra7b | null | [
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"dataset... | null | 2024-04-14T11:35:56+00:00 | [] | [
"en"
] | TAGS
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# LeroyDyer/Mixtral_AI_CyberTron_Ultra-Q4_K_S-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_CyberTron_Ultra' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CL... | [
"# LeroyDyer/Mixtral_AI_CyberTron_Ultra-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_CyberTron_Ultra' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL ... | [
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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": []} | cilantro9246/qd28c05 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
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"arxiv:1910.09700",
"autotrain_compatible",
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"region:us"
] | null | 2024-04-14T11:38:01+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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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. -->
# spark-name-ka-to-en
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ka-en](https://huggingface.co/Helsinki-NLP/opus-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "Helsinki-NLP/opus-mt-ka-en", "model-index": [{"name": "spark-name-ka-to-en", "results": []}]} | ihebaker10/spark-name-ka-to-en | null | [
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"marian",
"text2text-generation",
"generated_from_trainer",
"base_model:Helsinki-NLP/opus-mt-ka-en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T11:40:29+00:00 | [] | [] | TAGS
#transformers #safetensors #marian #text2text-generation #generated_from_trainer #base_model-Helsinki-NLP/opus-mt-ka-en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| spark-name-ka-to-en
===================
This model is a fine-tuned version of Helsinki-NLP/opus-mt-ka-en on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 4.1121
* Bleu: 6.5037
* Gen Len: 7.0421
Model description
-----------------
More information needed
Intended uses & lim... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
"### Traini... | [
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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. -->
# llama2-7b-wo-live_qa-sft
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llam... | {"tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/deita-10k-v0-sft"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "llama2-7b-wo-live_qa-sft", "results": []}]} | Minbyul/llama2-7b-wo-live_qa-sft | null | [
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"base_model:meta-llama/Llama-2-7b-hf",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"... | null | 2024-04-14T11:41:57+00:00 | [] | [] | TAGS
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| llama2-7b-wo-live\_qa-sft
=========================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the HuggingFaceH4/deita-10k-v0-sft dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4111
Model description
-----------------
More information needed
Intended uses & ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n*... | [
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null | transformers |
# LeroyDyer/Mixtral_AI_CyberTron_Ultra-Q3_K_M-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_CyberTron_Ultra`](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberTron_Ultra) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "code", "medical ", "farmer", "doctor", "Mega-Series", "Cyber-Series", "Role-Play", "Self-Rag", "ThinkingBot", "llama-cpp", "gguf-my-repo"], "datasets": ["gret... | LeroyDyer/Mixtral_AI_CyberTron_Ultra-Q3_K_M-GGUF | null | [
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"dataset... | null | 2024-04-14T11:43:03+00:00 | [] | [
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# LeroyDyer/Mixtral_AI_CyberTron_Ultra-Q3_K_M-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_CyberTron_Ultra' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CL... | [
"# LeroyDyer/Mixtral_AI_CyberTron_Ultra-Q3_K_M-GGUF\nThis model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_CyberTron_Ultra' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL ... | [
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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/ibivibiv/aegolius-acadicus-24b-v2
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/aegoliu... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "moerge"], "base_model": "ibivibiv/aegolius-acadicus-24b-v2", "quantized_by": "mradermacher"} | mradermacher/aegolius-acadicus-24b-v2-i1-GGUF | null | [
"transformers",
"gguf",
"moe",
"moerge",
"en",
"base_model:ibivibiv/aegolius-acadicus-24b-v2",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T11:43:45+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #moe #moerge #en #base_model-ibivibiv/aegolius-acadicus-24b-v2 #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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] |
null | transformers |
# LeroyDyer/Mixtral_AI_CyberTron_Ultra-Q8_0-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_CyberTron_Ultra`](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberTron_Ultra) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "code", "medical ", "farmer", "doctor", "Mega-Series", "Cyber-Series", "Role-Play", "Self-Rag", "ThinkingBot", "llama-cpp", "gguf-my-repo"], "datasets": ["gret... | LeroyDyer/Mixtral_AI_CyberTron_Ultra_Q8 | null | [
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"dataset... | null | 2024-04-14T11:44:34+00:00 | [] | [
"en"
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# LeroyDyer/Mixtral_AI_CyberTron_Ultra-Q8_0-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_CyberTron_Ultra' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.... | [
"# LeroyDyer/Mixtral_AI_CyberTron_Ultra-Q8_0-GGUF\nThis model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_CyberTron_Ultra' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL se... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | AdityaNamuduri/testing | null | [
"transformers",
"safetensors",
"bart",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T11:58:45+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bart #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"## 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 | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [NousResearch/Hermes-2-Pro-Mistral-7B](https... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Hermes-2-Pro-Mistral-7B", "WizardLM/WizardMath-7B-V1.1"]} | mergekit-community/mergekit-slerp-ovodfvr | null | [
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"base_model:WizardLM/WizardMath-7B-V1.1",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T12:02:02+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-NousResearch/Hermes-2-Pro-Mistral-7B #base_model-WizardLM/WizardMath-7B-V1.1 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* NousResearch/Hermes-2-Pro-Mistral-7B
* WizardLM/WizardMath-7B-V1.1
### Configura... | [
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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. -->
# en_vi_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": "en_vi_envit5-base_conv_train", "results": []}]} | yuufong/en_vi_envit5-base_conv_train | null | [
"transformers",
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"t5",
"text2text-generation",
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"base_model:VietAI/envit5-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T12:04:06+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
|
# en_vi_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
### Training hyperp... | [
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text-to-image | diffusers |
# LoRA DreamBooth - ClaireOzzz/murtceps
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
murtceps
```
Use this keyword to trigger your custom model in your prompts.
LoRA for the text encoder w... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["ClaireOzzz/specbnw3"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "murtceps", "inference": false} | ClaireOzzz/murtceps | null | [
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"region:us"
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|
# LoRA DreamBooth - ClaireOzzz/murtceps
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text encoder was enabled: Fals... | [
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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. -->
# meditron-7b-wo-live_qa-sft
This model is a fine-tuned version of [epfl-llm/meditron-7b](https://huggingface.co/epfl-llm/meditron... | {"license": "llama2", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/deita-10k-v0-sft"], "base_model": "epfl-llm/meditron-7b", "model-index": [{"name": "meditron-7b-wo-live_qa-sft", "results": []}]} | Minbyul/meditron-7b-wo-live_qa-sft | null | [
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"text-generation-inference... | null | 2024-04-14T12:06:11+00:00 | [] | [] | TAGS
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| meditron-7b-wo-live\_qa-sft
===========================
This model is a fine-tuned version of epfl-llm/meditron-7b on the HuggingFaceH4/deita-10k-v0-sft dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4959
Model description
-----------------
More information needed
Intended uses & ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n*... | [
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video-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ViVitTrained-ABAW
This model is a fine-tuned version of [google/vivit-b-16x2-kinetics400](https://huggingface.co/google/vivit-b-... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "google/vivit-b-16x2-kinetics400", "model-index": [{"name": "ViVitTrained-ABAW", "results": []}]} | Sapezb/ViVitTrained-ABAW | null | [
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"video-classification",
"generated_from_trainer",
"base_model:google/vivit-b-16x2-kinetics400",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T12:10:18+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vivit #video-classification #generated_from_trainer #base_model-google/vivit-b-16x2-kinetics400 #license-mit #endpoints_compatible #region-us
|
# ViVitTrained-ABAW
This model is a fine-tuned version of google/vivit-b-16x2-kinetics400 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 hype... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [unsloth/codegemma-7b](https://huggingface.c... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["unsloth/codegemma-7b", "cloudyu/google-gemma-7b-chinese-sft-v1"]} | mergekit-community/mergekit-slerp-ynceepa | null | [
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"base_model:unsloth/codegemma-7b",
"base_model:cloudyu/google-gemma-7b-chinese-sft-v1",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T12:10:19+00:00 | [] | [] | TAGS
#transformers #safetensors #gemma #text-generation #mergekit #merge #base_model-unsloth/codegemma-7b #base_model-cloudyu/google-gemma-7b-chinese-sft-v1 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* unsloth/codegemma-7b
* cloudyu/google-gemma-7b-chinese-sft-v1
### Configuration
... | [
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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. -->
# speecht5_finetuned_kazakh_tts2_1
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "speecht5_finetuned_kazakh_tts2_1", "results": []}]} | zizzimars/speecht5_finetuned_kazakh_tts2_1 | null | [
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] | null | 2024-04-14T12:11:28+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #speecht5 #text-to-audio #generated_from_trainer #base_model-microsoft/speecht5_tts #license-mit #endpoints_compatible #region-us
| speecht5\_finetuned\_kazakh\_tts2\_1
====================================
This model is a fine-tuned version of microsoft/speecht5\_tts on the KazakhTTS2 dataset (Mussakhojayeva, S., Khassanov, Y., & Varol, H.A. (2022). KazakhTTS2: Extending the Open-Source Kazakh TTS Corpus With More Data, Speakers, and Topics. Inte... | [
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text2text-generation | transformers |
# Model Card for Model ID
GAI Project 2.b Text summarization
| {"library_name": "transformers", "tags": []} | FelixChao/T5-Chinese-Summarization | null | [
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# Model Card for Model ID
GAI Project 2.b Text summarization
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text-generation | transformers | # Japanese-Starling-ChatV-7B
このモデルは"chatntq-ja-7b-v1.0"をベースにした7Bパラメータの日本語チャットモデルです。
<br>"Japanese-Starling-ChatV-7B" is a Japanese chat model built on top of "chatntq-ja-7b-v1.0", originally based on Mistral-7B-v0.1.
### <a href="https://huggingface.co/TFMC/Japanese-Starling-ChatV-7B-GGUF">詳細とGGUF版はこちら。Details and GG... | {"language": ["ja"], "license": "apache-2.0", "tags": ["Mistral"], "pipeline_tag": "text-generation"} | TFMC/Japanese-Starling-ChatV-7B | null | [
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"region:us"
] | null | 2024-04-14T12:18:31+00:00 | [] | [
"ja"
] | TAGS
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| # Japanese-Starling-ChatV-7B
このモデルは"chatntq-ja-7b-v1.0"をベースにした7Bパラメータの日本語チャットモデルです。
<br>"Japanese-Starling-ChatV-7B" is a Japanese chat model built on top of "chatntq-ja-7b-v1.0", originally based on Mistral-7B-v0.1.
### <a href="URL>詳細とGGUF版はこちら。Details and GGUFs are here. </a>
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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": []} | gotchachurchkhela/SN6-23 | null | [
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"arxiv:1910.09700",
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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 |
# AGCobra/OpenHermes-Emojitron-001-Q8_0-GGUF
This model was converted to GGUF format from [`movaxbx/OpenHermes-Emojitron-001`](https://huggingface.co/movaxbx/OpenHermes-Emojitron-001) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original mod... | {"language": ["en"], "license": "apache-2.0", "tags": ["mistral", "instruct", "finetune", "chatml", "llama-cpp", "gguf-my-repo"], "base_model": "teknium/OpenHermes-2.5-Mistral-7B", "model-index": [{"name": "OpenHermes-Emojitron-001", "results": []}]} | AGCobra/OpenHermes-Emojitron-001-Q8_0-GGUF | null | [
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|
# AGCobra/OpenHermes-Emojitron-001-Q8_0-GGUF
This model was converted to GGUF format from 'movaxbx/OpenHermes-Emojitron-001' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
... | [
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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. -->
# biomistral-7b-wo-medication_qa-sft
This model is a fine-tuned version of [BioMistral/BioMistral-7B](https://huggingface.co/BioMi... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/deita-10k-v0-sft"], "base_model": "BioMistral/BioMistral-7B", "model-index": [{"name": "biomistral-7b-wo-medication_qa-sft", "results": []}]} | Minbyul/biomistral-7b-wo-medication_qa-sft | null | [
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| biomistral-7b-wo-medication\_qa-sft
===================================
This model is a fine-tuned version of BioMistral/BioMistral-7B on the HuggingFaceH4/deita-10k-v0-sft dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6409
Model description
-----------------
More information neede... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n*... | [
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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. -->
# 14apr-bert-uncased
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "14apr-bert-uncased", "results": []}]} | sandeepmaddu/14apr-bert-cased | null | [
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] | null | 2024-04-14T12:26:53+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #token-classification #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| 14apr-bert-uncased
==================
This model is a fine-tuned version of bert-base-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1141
* Precision: 0.9797
* Recall: 0.9796
* F1: 0.9797
* Accuracy: 0.9774
Model description
-----------------
More information neede... | [
"### 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: 5",
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | wookyungseo/qlora-koalpaca-polyglot-12.8b-500step | null | [
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"1910.09700"
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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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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... | {"license": "afl-3.0", "library_name": "transformers"} | metterian/gemma-pro-ko-10b | 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 | 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. -->
# trained_weigths_2
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "trained_weigths_2", "results": []}]} | Yan777/trained_weigths_2 | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
| trained\_weigths\_2
===================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3984
Model description
-----------------
More information needed
Intended uses & limitations
---------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: cosine\n* lr\\_scheduler\\_warmup\\_ratio:... | [
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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. -->
# distilgpt2-finetuned-cybersecurity_readme
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "distilgpt2-finetuned-cybersecurity_readme", "results": []}]} | LDDon/distilgpt2-finetuned-cybersecurity_readme | null | [
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| distilgpt2-finetuned-cybersecurity\_readme
==========================================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.9861
Model description
-----------------
More information needed
Intended uses & limi... | [
"### 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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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-finetuned-subjqa-movies_2
This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/dee... | {"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "base_model": "deepset/roberta-base-squad2", "model-index": [{"name": "roberta-finetuned-subjqa-movies_2", "results": []}]} | Manishonly/roberta-finetuned-subjqa-movies_2 | null | [
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"base_model:deepset/roberta-base-squad2",
"license:cc-by-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T12:40:05+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #question-answering #generated_from_trainer #base_model-deepset/roberta-base-squad2 #license-cc-by-4.0 #endpoints_compatible #region-us
|
# roberta-finetuned-subjqa-movies_2
This model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
"# roberta-finetuned-subjqa-movies_2\n\nThis model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset.",
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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. -->
# mistral-7b-wo-medication_qa-sft
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistral... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/deita-10k-v0-sft"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral-7b-wo-medication_qa-sft", "results": []}]} | Minbyul/mistral-7b-wo-medication_qa-sft | null | [
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| mistral-7b-wo-medication\_qa-sft
================================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the HuggingFaceH4/deita-10k-v0-sft dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5099
Model description
-----------------
More information needed
I... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | todayboard/trevor | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # OGSQL-7B
### Model Description
OGSQL-7B was fine-tuned for the task of converting natural language text into SQL queries.
- **Model type**: Transformer
- **Language(s) (NLP)**: SQL (target langua... | {"language": ["en"], "license": "cc-by-4.0", "tags": ["Text-to-sql"]} | OneGate/OG-SQL-7B | null | [
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"en",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T12:41:38+00:00 | [] | [
"en"
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#transformers #safetensors #llama #text-generation #Text-to-sql #en #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # OGSQL-7B
!image/png
### Model Description
OGSQL-7B was fine-tuned for the task of converting natural language text into SQL queries.
- Model type: Transformer
- Language(s) (NLP): SQL (target language for generation)
- Finetuned from model: codellama 7b
## Use Case
OGSQL-7B is designed to facilitate the conversi... | [
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text-generation | null | # Japanese-Starling-ChatV-7B-GGUF
GGUF conversion of "<a href="https://huggingface.co/TFMC/Japanese-Starling-ChatV-7B">Japanese-Starling-ChatV-7B</a>"
"Japanese-Starling-ChatV-7B" is a Japanese chat model built on top of "<a href="https://huggingface.co/NTQAI/chatntq-ja-7b-v1.0">chatntq-ja-7b-v1.0</a>", originally ba... | {"language": ["ja"], "license": "apache-2.0", "tags": ["Mistral"], "pipeline_tag": "text-generation"} | TFMC/Japanese-Starling-ChatV-7B-GGUF | null | [
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"ja",
"license:apache-2.0",
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#gguf #Mistral #text-generation #ja #license-apache-2.0 #region-us
| Japanese-Starling-ChatV-7B-GGUF
===============================
GGUF conversion of "<a href="URL
"Japanese-Starling-ChatV-7B" is a Japanese chat model built on top of "<a href="URL originally based on Mistral-7B-v0.1.
I applied the chat vector acquired by subtracting the weights of Mistral-7B-v0.1 from the weights ... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [NousResearch/Hermes-2-Pro-Mistral-7B](https... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Hermes-2-Pro-Mistral-7B", "WizardLM/WizardMath-7B-V1.1"]} | mergekit-community/mergekit-slerp-llfrpky | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* NousResearch/Hermes-2-Pro-Mistral-7B
* WizardLM/WizardMath-7B-V1.1
### Configura... | [
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text-generation | transformers |
# NeuralPipe-7B-slerp
NeuralPipe-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [OpenPipe/mistral-ft-optimized-1218](https://huggingface.co/OpenPipe/mistral-ft-optimized-1218)
* [mlabonne/NeuralHermes-2.5-Mistr... | {"tags": ["merge", "mergekit", "lazymergekit", "OpenPipe/mistral-ft-optimized-1218", "mlabonne/NeuralHermes-2.5-Mistral-7B"], "base_model": ["OpenPipe/mistral-ft-optimized-1218", "mlabonne/NeuralHermes-2.5-Mistral-7B"]} | JoPmt/NeuralPipe-7B-slerp | null | [
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"autotrain_compati... | null | 2024-04-14T12:48:50+00:00 | [] | [] | TAGS
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# NeuralPipe-7B-slerp
NeuralPipe-7B-slerp is a merge of the following models using LazyMergekit:
* OpenPipe/mistral-ft-optimized-1218
* mlabonne/NeuralHermes-2.5-Mistral-7B
## Configuration
## Usage
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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. -->
# en_vi_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": "en_vi_envit5-base_doc_train", "results": []}]} | yuufong/en_vi_envit5-base_doc_train | null | [
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|
# en_vi_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... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# flan-t5-xl-absa-multitask-laptops
This model is a fine-tuned version of [ybelkada/flan-t5-xl-sharded-bf16](https://huggingface.c... | {"tags": ["generated_from_trainer"], "base_model": "ybelkada/flan-t5-xl-sharded-bf16", "model-index": [{"name": "flan-t5-xl-absa-multitask-laptops", "results": []}]} | Shakhovak/flan-t5-xl-absa-multitask-laptops | null | [
"generated_from_trainer",
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#generated_from_trainer #base_model-ybelkada/flan-t5-xl-sharded-bf16 #region-us
| flan-t5-xl-absa-multitask-laptops
=================================
This model is a fine-tuned version of ybelkada/flan-t5-xl-sharded-bf16 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0986
Model description
-----------------
More information needed
Intended uses & ... | [
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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. -->
# llama2-7b-wo-medication_qa-sft
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llam... | {"tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/deita-10k-v0-sft"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "llama2-7b-wo-medication_qa-sft", "results": []}]} | Minbyul/llama2-7b-wo-medication_qa-sft | null | [
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| llama2-7b-wo-medication\_qa-sft
===============================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the HuggingFaceH4/deita-10k-v0-sft dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2333
Model description
-----------------
More information needed
Inte... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OvrK12/t5large521109 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-1.8B-channel-mix-bpw-2.2 | null | [
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| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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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": []} | tom-brady/sn6_248 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-1.8B-channel-mix-bpw-2.5 | null | [
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#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information. | {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-1.8B-channel-mix-bpw-3.0 | null | [
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#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
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This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information. | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-4B-channel-mix-bpw-2.2 | null | [
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#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
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This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-4B-channel-mix-bpw-2.5 | null | [
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#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information. | {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-4B-channel-mix-bpw-3.0 | null | [
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#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information. | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-7B-channel-mix-bpw-2.2 | null | [
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"license:apache-2.0",
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"region:us"
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#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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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. -->
# DISTILBERT-IMDB-HUGGINGFACE
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-ba... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "DISTILBERT-IMDB-HUGGINGFACE", "results": []}]} | cyh002/DISTILBERT-IMDB-HUGGINGFACE | null | [
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|
# DISTILBERT-IMDB-HUGGINGFACE
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- Accuracy: 0.912
- F1: 0.9113
## Model description
More information needed
## Intended uses & limitations
More information n... | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-7B-channel-mix-bpw-2.5 | null | [
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#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
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Please refer to our Github page for the code to run the model and more information.
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information. | {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-7B-channel-mix-bpw-3.0 | null | [
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#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information. | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-14B-channel-mix-bpw-2.2 | null | [
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#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-14B-channel-mix-bpw-2.5 | null | [
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#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information. | {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-14B-channel-mix-bpw-3.0 | null | [
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#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information. | [
"# GreenBit LLMs\n\nThis is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.\n\nPlease refer to our Github page for the code to run the model and more information."
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-7b-hf"} | cgihlstorf/llama27b-finetuned_32_1_0.0003_alternate_no_output_random_train_nonrandom_val | null | [
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#peft #arxiv-1910.09700 #base_model-meta-llama/Llama-2-7b-hf #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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null | null |
iMatrix gguf quants of a newer finetune of Mixtral-8x22B
EdgeQuants still underway, IQ4XS version recommended. Make sure to combine/merge the parts back together before using
```
cat tessIQ4XS.gguf.part* > tessIQ4XS.gguf
```
Then use with llama.cpp version from April 12 or older. April 13 release had massive c... | {"license": "apache-2.0", "base_model": "migtissera/Tess-2.0-Mixtral-8x22B"} | nisten/Tess-Mixtral-8x22B-imatrix-gguf | null | [
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#gguf #base_model-migtissera/Tess-2.0-Mixtral-8x22B #license-apache-2.0 #region-us
|
iMatrix gguf quants of a newer finetune of Mixtral-8x22B
EdgeQuants still underway, IQ4XS version recommended. Make sure to combine/merge the parts back together before using
Then use with URL version from April 12 or older. April 13 release had massive changes and messed up inferene for MoE models | [] | [
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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/mistral-32 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model 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
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/mistral-32-a | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model 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": []} | XsoraS/outputs2 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
<!-- 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. -->
# meditron-7b-wo-medication_qa-sft
This model is a fine-tuned version of [epfl-llm/meditron-7b](https://huggingface.co/epfl-llm/me... | {"license": "llama2", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/deita-10k-v0-sft"], "base_model": "epfl-llm/meditron-7b", "model-index": [{"name": "meditron-7b-wo-medication_qa-sft", "results": []}]} | Minbyul/meditron-7b-wo-medication_qa-sft | null | [
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"endpoints_compatible",
"text-generation-inference... | null | 2024-04-14T13:08:36+00:00 | [] | [] | TAGS
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| meditron-7b-wo-medication\_qa-sft
=================================
This model is a fine-tuned version of epfl-llm/meditron-7b on the HuggingFaceH4/deita-10k-v0-sft dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3274
Model description
-----------------
More information needed
Inte... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n*... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/jondurbin/bagel-7b-v0.5
<!-- 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", "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", "c... | mradermacher/bagel-7b-v0.5-GGUF | null | [
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"dataset:boo... | null | 2024-04-14T13:09:41+00:00 | [] | [
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-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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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. -->
# llama-13b-hf-platypus-lamini-vxxiii-chat
This model is a fine-tuned version of [meta-llama/Llama-2-13b-hf](https://huggingface.c... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-13b-hf", "model-index": [{"name": "llama-13b-hf-platypus-lamini-vxxiii-chat", "results": []}]} | NassimB/llama-13b-hf-platypus-lamini-vxxiii-chat | null | [
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"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-13b-hf",
"region:us"
] | null | 2024-04-14T13:11:08+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Llama-2-13b-hf #region-us
|
# llama-13b-hf-platypus-lamini-vxxiii-chat
This model is a fine-tuned version of meta-llama/Llama-2-13b-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
"# llama-13b-hf-platypus-lamini-vxxiii-chat\n\nThis model is a fine-tuned version of meta-llama/Llama-2-13b-hf on an unknown dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/LeroyDyer/Mixtral_AI_CyberTron_Ultra
<!-- 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", "code", "medical ", "farmer", "doctor", "Mega-Series", "Cyber-Series", "Role-Play", "Self-Rag", "ThinkingBot"], "datasets": ["gretelai/synthetic_text_to_sql", ... | mradermacher/Mixtral_AI_CyberTron_Ultra-GGUF | null | [
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-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
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": []} | NouRed/BioMed-Gemma-2b | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilroberta-base-finetuned-cybersecurity_readme2
This model is a fine-tuned version of [distilroberta-base](https://huggingfac... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilroberta-base", "model-index": [{"name": "distilroberta-base-finetuned-cybersecurity_readme2", "results": []}]} | LDDon/distilroberta-base-finetuned-cybersecurity_readme2 | null | [
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| distilroberta-base-finetuned-cybersecurity\_readme2
===================================================
This model is a fine-tuned version of distilroberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7293
Model description
-----------------
More information nee... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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text-generation | transformers |
## Model Introduction:
CTIQwen is a fine-tuned model of the Qwen 1.5 model, specifically optimized for knowledge graph generation from cybersecurity text. It is designed to extend the capabilities of CTIKG.
## Model Progress:
April 2024, we committed the first version of CTIQwen. | {"language": ["en"], "license": "other"} | revealcti/cti-qwen1.5-70b-awq | null | [
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## Model Introduction:
CTIQwen is a fine-tuned model of the Qwen 1.5 model, specifically optimized for knowledge graph generation from cybersecurity text. It is designed to extend the capabilities of CTIKG.
## Model Progress:
April 2024, we committed the first version of CTIQwen. | [
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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/mistral-32-b | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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- License... | [
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null | transformers |
# Uploaded model
- **Developed by:** darshit0503
- **License:** apache-2.0
- **Finetuned from model :** Open-Orca/Mistral-7B-OpenOrca
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"], "datasets": ["Amod/mental_health_counseling_conversations"], "base_model": "Open-Orca/Mistral-7B-OpenOrca"} | darshit0503/openorca_Ft_mental_health_counselling_GGUF | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | danelcsb/rtdetr-finetuned-balloon | null | [
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text-generation | transformers |
## Matter 8x22B - 0.2 (Mixtral 8x22B 0.2 Finetune)
Matter 8x22B 0.2 is finetune on the **Matter 0.2 dataset**, which is curated from over 35 datsets analyzing >6B tokens
### Recommended Usage for best results
System Prompt - `You are a helpful assistant`
### Training
Prompt format: This model uses ChatML prompt fo... | {"language": ["en"], "license": "apache-2.0", "datasets": ["0-hero/Matter-0.2-alpha-Slim-A"]} | 0-hero/Matter-0.2-8x22B | null | [
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|
## Matter 8x22B - 0.2 (Mixtral 8x22B 0.2 Finetune)
Matter 8x22B 0.2 is finetune on the Matter 0.2 dataset, which is curated from over 35 datsets analyzing >6B tokens
### Recommended Usage for best results
System Prompt - 'You are a helpful assistant'
### Training
Prompt format: This model uses ChatML prompt format... | [
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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. -->
# selfbiorag-7b-wo-medication_qa-sft
This model is a fine-tuned version of [dmis-lab/selfbiorag_7b](https://huggingface.co/dmis-la... | {"tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/deita-10k-v0-sft"], "base_model": "dmis-lab/selfbiorag_7b", "model-index": [{"name": "selfbiorag-7b-wo-medication_qa-sft", "results": []}]} | Minbyul/selfbiorag-7b-wo-medication_qa-sft | null | [
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| selfbiorag-7b-wo-medication\_qa-sft
===================================
This model is a fine-tuned version of dmis-lab/selfbiorag\_7b on the HuggingFaceH4/deita-10k-v0-sft dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5396
Model description
-----------------
More information needed... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-v0.1"} | alexgrigoras/mistral_7b_finetuned_ts_sdg_1 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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- Shared by [optional]:
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- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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unconditional-image-generation | diffusers |
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('Alorel/0414-sd-class-butter... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | Alorel/0414-sd-class-butterflies-64 | null | [
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# Model Card for Unit 1 of the Diffusion Models Class
This model is a diffusion model for unconditional image generation of cute .
## Usage
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