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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
distilgpt2-stable-diffusion-v2 - bnb 8bits
- Model creator: https://huggingface.co/FredZhang7/
- Original model: https://hug... | {} | RichardErkhov/FredZhang7_-_distilgpt2-stable-diffusion-v2-8bits | null | [
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#transformers #safetensors #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
distilgpt2-stable-diffusion-v2 - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: creativeml-openrail-m
tags:
- stable-diffusion
- prompt-generator
- arxiv:2210.14140
widget:
- text: "amazing"
-... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
anime-anything-promptgen-v2 - bnb 8bits
- Model creator: https://huggingface.co/FredZhang7/
- Original model: https://huggin... | {} | RichardErkhov/FredZhang7_-_anime-anything-promptgen-v2-8bits | null | [
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"gpt2",
"text-generation",
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"endpoints_compatible",
"text-generation-inference",
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] | null | 2024-04-17T08:05:15+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
anime-anything-promptgen-v2 - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: creativeml-openrail-m
language:
- en
widget:
- text: 1girl, fate
- text: 1boy, league of
- text: 1girl, genshin
- ... | [
"## Fast Anime PromptGen\n\nThis model was trained on a dataset of 80,000 safe anime prompts for 3 epochs. I fetched the prompts from the Safebooru API endpoint, but only accepted unique prompts with up_score ≥ 8 and without any blacklisted tags. \nI didn't release the V1 model because it often generated gibberish ... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
hebrew-gpt_neo-small - bnb 8bits
- Model creator: https://huggingface.co/Norod78/
- Original model: https://huggingface.co/N... | {} | RichardErkhov/Norod78_-_hebrew-gpt_neo-small-8bits | null | [
"transformers",
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#transformers #safetensors #gpt_neo #text-generation #autotrain_compatible #endpoints_compatible #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
hebrew-gpt_neo-small - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
language: he
thumbnail: URL
widget:
- text: "עוד בימי קדם"
- text: "קוראים לי דורון ואני מעוניין ל"
- text: "קוראים לי איציק ואני ... | [
"# hebrew-gpt_neo-small\n\nHebrew text generation model based on EleutherAI's gpt-neo. Each was trained on a TPUv3-8 which was made avilable to me via the TPU Research Cloud Program.",
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"# hebrew-gpt_neo-small\n\nHebrew text generation model based on EleutherAI's gpt-neo. Each was trained on a TPUv3-8 which was made avilable to me via the TPU Research Cloud Program.",
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"TAGS\n#transformers #safetensors #gpt_neo #text-generation #autotrain_compatible #endpoints_compatible #8-bit #region-us \n# hebrew-gpt_neo-small\n\nHebrew text generation model based on EleutherAI's gpt-neo. Each was trained on a TPUv3-8 which was made avilable to me via the TPU Research Cloud Program.## Datasets... |
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('meric-y/sd-class-butterflie... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | meric-y/sd-class-butterflies-32 | null | [
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"safetensors",
"pytorch",
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#diffusers #safetensors #pytorch #unconditional-image-generation #diffusion-models-class #license-mit #diffusers-DDPMPipeline #region-us
|
# 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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] |
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="derk06/taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
en... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/- ... | derk06/taxi-v3 | null | [
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#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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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": []} | mjyoo2/kullm_arc_ft | null | [
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-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.
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- Funded by [optional]:
- Shared by [optional]:
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | adediu25/subtle-toxicgenconprompt-all-no-lora | 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 |
# CodeQwen1.5-7B
GPTQ quantized version of CodeQwen1.5-7B model.
---
## Introduction
CodeQwen1.5 is the Code-Specific version of Qwen1.5. It is a transformer-based decoder-only language model pretrained on a large amount of data of codes.
* Strong code generation capabilities and competitve performance across a ... | {"language": ["en"], "license": "other", "tags": ["pretrained"], "license_name": "tongyi-qianwen-research", "license_link": "https://huggingface.co/Qwen/CodeQwen1.5-7B/blob/main/LICENSE", "pipeline_tag": "text-generation"} | TechxGenus/CodeQwen1.5-7B-GPTQ | null | [
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|
# CodeQwen1.5-7B
GPTQ quantized version of CodeQwen1.5-7B model.
---
## Introduction
CodeQwen1.5 is the Code-Specific version of Qwen1.5. It is a transformer-based decoder-only language model pretrained on a large amount of data of codes.
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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. -->
# GUE_mouse_2-seqsight_4096_512_15M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_mouse_2-seqsight_4096_512_15M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_2-seqsight_4096_512_15M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_mouse\_2-seqsight\_4096\_512\_15M-L32\_all
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_mouse\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5085
* F1 Score: 0.8106
... | [
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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": []} | TYZY89/Llama-2-7b-sft | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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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:
* [Citaman/command-r-16-layer](https://hugging... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Citaman/command-r-16-layer"]} | Citaman/command-r-15-layer | null | [
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"autotrain_compatible",
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"region:us"
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#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-16-layer #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:
* Citaman/command-r-16-layer
### Configuration
The following YAML configuration w... | [
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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. -->
# model_hh_shp3_400
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_hh_shp3_400", "results": []}]} | guoyu-zhang/model_hh_shp3_400 | null | [
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] | null | 2024-04-17T08:15:50+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us
| model\_hh\_shp3\_400
====================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1493
* Rewards/chosen: -4.1445
* Rewards/rejected: -6.0670
* Rewards/accuracies: 0.5400
* Rewards/margins: 1.9226
* ... | [
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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. -->
# GUE_splice_reconstructed-seqsight_4096_512_15M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_51... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_splice_reconstructed-seqsight_4096_512_15M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_splice_reconstructed-seqsight_4096_512_15M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_splice\_reconstructed-seqsight\_4096\_512\_15M-L32\_all
============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_splice\_reconstructed dataset.
It achieves the following results on the evaluation se... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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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('msonali/diffusion-tutorial'... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | msonali/diffusion-tutorial | null | [
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#diffusers #safetensors #pytorch #unconditional-image-generation #diffusion-models-class #license-mit #diffusers-DDPMPipeline #region-us
|
# 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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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. -->
# results
This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", "model-index": [{"name": "results", "results": []}]} | deepakmzn/results | null | [
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"generated_from_trainer",
"base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
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"region:us"
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #license-apache-2.0 #region-us
|
# results
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
The following 'bitsandb... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | dzungPaduahsgs/Mistral7Bcleaning_merged | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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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": []} | guyhadad01/Roberta-large-imdb-lora-1000 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | 0x0mom/sl7 | null | [
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null | null |
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
| {"title": "Llama2 Finetuned Deploy", "emoji": "\ud83d\udc20", "colorFrom": "green", "colorTo": "red", "sdk": "docker", "pinned": false} | Kunalpal216/llama2-finetuned-road-accident | null | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mixtral-8x7B-v0.1-Instruct-sft-en-de
A full finetune of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8... | {"tags": ["alignment-handbook", "generated_from_trainer"], "datasets": ["maxidl/instruct-en-de"], "base_model": "mistralai/Mixtral-8x7B-v0.1", "model-index": [{"name": "Mixtral-8x7B-v0.1-Instruct-sft-en-de", "results": []}]} | maxidl/Mixtral-8x7B-v0.1-Instruct-sft-en-de | null | [
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| Mixtral-8x7B-v0.1-Instruct-sft-en-de
====================================
A full finetune of mistralai/Mixtral-8x7B-v0.1 using a mix of English and German instruction data.
Dataset
-------
### Training hyperparameters
The following hyperparameters were used during training:
* learning\_rate: 1e-05
* train\_b... | [
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text-generation | transformers |
# ECE-TW3-JRGL-VHF9
ECE-TW3-JRGL-VHF9 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [MTSAIR/MultiVerse_70B](https://huggingface.co/MTSAIR/MultiVerse_70B)
* [davidkim205/Rhea-72b-v0.5](https://huggingface.co/davidkim205/Rhea-72b-v0.5)
## 🧩 Configuration | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "MTSAIR/MultiVerse_70B", "davidkim205/Rhea-72b-v0.5"]} | IAFrance/ECE-TW3-JRGL-VHF9 | null | [
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|
# ECE-TW3-JRGL-VHF9
ECE-TW3-JRGL-VHF9 is a merge of the following models using mergekit:
* MTSAIR/MultiVerse_70B
* davidkim205/Rhea-72b-v0.5
## Configuration | [
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"## Configuration"
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reinforcement-learning | null |
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
```python
{'exp_name': 'ppo'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'Lunar... | {"tags": ["LunarLander-v2", "ppo", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation", "deep-rl-course"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarLander-v2... | hlabedade/ppo-CartPole-v1 | null | [
"tensorboard",
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"ppo",
"deep-reinforcement-learning",
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#tensorboard #LunarLander-v2 #ppo #deep-reinforcement-learning #reinforcement-learning #custom-implementation #deep-rl-course #model-index #region-us
|
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
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null | null | Here is the most complete collection of controlNet models repository, with the models written above to make it easy to download them at a new workplace, thanks to the authors of the models. | {"license": "apache-2.0"} | jxand/ControlNet15andXL | null | [
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#license-apache-2.0 #region-us
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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. -->
# GUE_tf_0-seqsight_4096_512_15M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_tf_0-seqsight_4096_512_15M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_0-seqsight_4096_512_15M-L32_all | null | [
"peft",
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"generated_from_trainer",
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_tf\_0-seqsight\_4096\_512\_15M-L32\_all
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_tf\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5125
* F1 Score: 0.7476
* Accurac... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- _load_in_8bit: False
- _load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
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#peft #region-us
| ## Training procedure
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- _load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quan... | [
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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": []} | deepakmzn/tinyllama_2k_5e_merged_with_base_model | null | [
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# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
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null | 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. -->
# GUE_tf_1-seqsight_4096_512_15M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_tf_1-seqsight_4096_512_15M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_1-seqsight_4096_512_15M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_tf\_1-seqsight\_4096\_512\_15M-L32\_all
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_tf\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4655
* F1 Score: 0.7825
* Accurac... | [
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text-generation | transformers |
# stablelm-zephyr-3b-dare3
stablelm-zephyr-3b-dare3 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [stabilityai/stablelm-zephyr-3b](https://huggingface.co/stabilityai/stablelm-zephyr-3b)
* [stabilityai/stablelm-zephyr-3... | {"tags": ["merge", "mergekit", "lazymergekit", "stabilityai/stablelm-zephyr-3b"], "base_model": ["stabilityai/stablelm-zephyr-3b", "stabilityai/stablelm-zephyr-3b"]} | aipib/stablelm-zephyr-3b-dare3 | null | [
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"autotrain_compatible",
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] | null | 2024-04-17T08:26:03+00:00 | [] | [] | TAGS
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|
# stablelm-zephyr-3b-dare3
stablelm-zephyr-3b-dare3 is a merge of the following models using LazyMergekit:
* stabilityai/stablelm-zephyr-3b
* stabilityai/stablelm-zephyr-3b
## Configuration
## Usage
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text-to-image | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
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- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "deepseek-ai/deepseek-coder-5.7bmqa-base-2.0"} | JVictor-CC/deepseek-coder-5.7bmqa-base | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | amanayush/phi2_1k_4e_merged_with_base_model | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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- Language(s) (NLP):
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# dal-bert-finetuned-emotion
This model is a fine-tuned version of [sharif-dal/dal-bert](https://huggingface.co/sharif-dal/dal-ber... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "sharif-dal/dal-bert", "widget": [{"text": "\u0627\u0647 \u0627\u06cc\u0646 \u063a\u0630\u0627 \u062e\u06cc\u0644\u06cc \u0622\u0634\u063a\u0627\u0644\u0647!"}], "model-index": [{"name": "dal-bert-finetuned-sentim... | Respair/dal-bert-finetuned-emotion | null | [
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| dal-bert-finetuned-emotion
==========================
This model is a fine-tuned version of sharif-dal/dal-bert on snappfood's comments dataset.
* 0 -> Positive sentiment
* 1 -> Negative sentiment
It achieves the following results on the evaluation set:
* Loss: 0.2893
* Accuracy: 0.8821
* F1: 0.8820
Model des... | [
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text-to-image | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | phamthanhdung/v60 | null | [
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|
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## Model Details
### Model Description
This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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sentence-similarity | sentence-transformers |
# mteb-pt/average_fasttext_cc.pt.300
This is an adaptation of pre-trained Portuguese fastText Word Embeddings to a [sentence-transformers](https://www.SBERT.net) model.
The original pre-trained word embeddings can be found at: [https://fasttext.cc/docs/en/crawl-vectors.html](https://fasttext.cc/docs/en/crawl-vecto... | {"language": ["pt"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | pt-mteb/average_fasttext_cc.pt.300 | null | [
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|
# mteb-pt/average_fasttext_cc.pt.300
This is an adaptation of pre-trained Portuguese fastText Word Embeddings to a sentence-transformers model.
The original pre-trained word embeddings can be found at: URL
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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. -->
# xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de", "results": []}]} | taoyoung/xlm-roberta-base-finetuned-panx-de | null | [
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| xlm-roberta-base-finetuned-panx-de
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1569
* F1: 0.8672
Model description
-----------------
More information needed
Intended uses & l... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/bigscience-bloomz-3b-HQQ-1bit-smashed | null | [
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<div style="width: auto; margin-left: auto; margin-right: auto">
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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sentence-similarity | sentence-transformers |
# mteb-pt/average_fasttext_wiki.pt.align.300
This is an adaptation of pre-trained Portuguese fastText Word Embeddings to a [sentence-transformers](https://www.SBERT.net) model.
The original pre-trained word embeddings can be found at: [https://fasttext.cc/docs/en/aligned-vectors.html](https://fasttext.cc/docs/en/a... | {"language": ["pt"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | pt-mteb/average_fasttext_wiki.pt.align.300 | null | [
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# mteb-pt/average_fasttext_wiki.URL.300
This is an adaptation of pre-trained Portuguese fastText Word Embeddings to a sentence-transformers model.
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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. -->
# GUE_tf_4-seqsight_4096_512_15M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_tf_4-seqsight_4096_512_15M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_4-seqsight_4096_512_15M-L32_all | null | [
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| GUE\_tf\_4-seqsight\_4096\_512\_15M-L32\_all
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_tf\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8805
* F1 Score: 0.7176
* Accurac... | [
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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. -->
# model_usp3_dpo9
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_usp3_dpo9", "results": []}]} | guoyu-zhang/model_usp3_dpo9 | null | [
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| model\_usp3\_dpo9
=================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
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* Loss: 2.3840
* Rewards/chosen: -5.8994
* Rewards/rejected: -15.8549
* Rewards/accuracies: 0.75
* Rewards/margins: 9.9555
* Logps/r... | [
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text-to-image | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | Niggendar/WildCardX_XLPony | null | [
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feature-extraction | transformers |
# Malaysian Mistral 191M on MLM task using 512 context length
Replicating https://github.com/McGill-NLP/llm2vec using https://huggingface.co/mesolitica/malaysian-mistral-191M-4096, done by https://github.com/aisyahrzk https://twitter.com/aisyahhhrzk
Source code at https://github.com/mesolitica/malaya/tree/master/ses... | {"language": ["ms"], "library_name": "transformers"} | mesolitica/malaysian-mistral-191M-MLM-512 | null | [
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"ms"
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#transformers #safetensors #mistral #feature-extraction #custom_code #ms #text-generation-inference #region-us
|
# Malaysian Mistral 191M on MLM task using 512 context length
Replicating URL using URL done by URL URL
Source code at URL
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] |
sentence-similarity | sentence-transformers |
# mteb-pt/average_fasttext_wiki.pt.300
This is an adaptation of pre-trained Portuguese fastText Word Embeddings to a [sentence-transformers](https://www.SBERT.net) model.
The original pre-trained word embeddings can be found at: [https://fasttext.cc/docs/en/pretrained-vectors.html](https://fasttext.cc/docs/en/pret... | {"language": ["pt"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | pt-mteb/average_fasttext_wiki.pt.300 | null | [
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"pt",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T08:36:21+00:00 | [] | [
"pt"
] | TAGS
#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us
|
# mteb-pt/average_fasttext_wiki.pt.300
This is an adaptation of pre-trained Portuguese fastText Word Embeddings to a sentence-transformers model.
The original pre-trained word embeddings can be found at: URL
This model maps sentences & paragraphs to a 300 dimensional dense vector space and can be used for tasks... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mixtral-8x7B-orpo-en-de
This model is a fine-tuned version of [mistralai/Mixtral-8x22B-v0.1](https://huggingface.co/mistralai/Mi... | {"tags": ["alignment-handbook", "generated_from_trainer"], "datasets": ["maxidl/distilabel-capybara-dpo-7k-binarized_en_de"], "base_model": "mistralai/Mixtral-8x22B-v0.1", "model-index": [{"name": "Mixtral-8x7B-orpo-en-de", "results": []}]} | maxidl/Mixtral-8x22B-v0.1-capybara-orpo-en-de | null | [
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"endpoints_compatible",
... | null | 2024-04-17T08:37:32+00:00 | [] | [] | TAGS
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|
# Mixtral-8x7B-orpo-en-de
This model is a fine-tuned version of mistralai/Mixtral-8x22B-v0.1 on the maxidl/distilabel-capybara-dpo-7k-binarized_en_de dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information ne... | [
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sentence-similarity | sentence-transformers |
# mteb-pt/average_pt_nilc_fasttext_cbow_s300
This is an adaptation of pre-trained Portuguese fastText Word Embeddings to a [sentence-transformers](https://www.SBERT.net) model.
The original pre-trained word embeddings can be found at: [http://nilc.icmc.usp.br/nilc/index.php/repositorio-de-word-embeddings-do-nilc](... | {"language": ["pt"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | pt-mteb/average_pt_nilc_fasttext_cbow_s300 | null | [
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"endpoints_compatible",
"region:us"
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#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us
|
# mteb-pt/average_pt_nilc_fasttext_cbow_s300
This is an adaptation of pre-trained Portuguese fastText Word Embeddings to a sentence-transformers model.
The original pre-trained word embeddings can be found at: URL
This model maps sentences & paragraphs to a 300 dimensional dense vector space and can be used for... | [
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text-generation | transformers | # R136a1/InfinityLake-2x7B AWQ
- Model creator: [R136a1](https://huggingface.co/R136a1)
- Original model: [InfinityLake-2x7B](https://huggingface.co/R136a1/InfinityLake-2x7B)
![InfinityKuno-2x7B](https://cdn.discordapp.com/attachments/843160171676565508/1228595930433978378/ey.png?ex=662c9e20&is=661a2920&hm=79fcc84171... | {"language": ["en"], "license": "apache-2.0", "tags": ["safetensors", "mixtral", "not-for-all-audiences", "nsfw", "quantized", "4-bit", "AWQ", "autotrain_compatible", "endpoints_compatible", "text-generation-inference"], "inference": false, "prompt_template": "<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|... | solidrust/InfinityLake-2x7B-AWQ | null | [
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"endpoints_compatible",
"text-generation-inference",
"en",
"license:apache-2.0",
"region:us"
] | null | 2024-04-17T08:40:10+00:00 | [] | [
"en"
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| # R136a1/InfinityLake-2x7B AWQ
- Model creator: R136a1
- Original model: InfinityLake-2x7B
!InfinityKuno-2x7B
## Model Summary
Experimental model from Endevor/InfinityRP-v1-7B and senseable/WestLake-7B-v2 models. Merged to MoE model with 2x7B parameters.
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text-to-image | diffusers |
# RealCartoon-Pixar_Miracle API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "realcarto... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/realcartoon-pixarmiracle | null | [
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"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
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"region:us"
] | null | 2024-04-17T08:40:19+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# RealCartoon-Pixar_Miracle API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "realcartoon-pixarmiracle"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate... | [
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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. -->
# GUE_tf_3-seqsight_4096_512_15M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_tf_3-seqsight_4096_512_15M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_3-seqsight_4096_512_15M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-17T08:41:04+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_tf\_3-seqsight\_4096\_512\_15M-L32\_all
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_tf\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6775
* F1 Score: 0.6384
* Accurac... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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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. -->
# GUE_tf_2-seqsight_4096_512_15M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_tf_2-seqsight_4096_512_15M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_2-seqsight_4096_512_15M-L32_all | null | [
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"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-17T08:41:14+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_tf\_2-seqsight\_4096\_512\_15M-L32\_all
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_tf\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5690
* F1 Score: 0.6978
* Accurac... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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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:
* [tomaszki/mistral-33](https://huggingface.co... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["tomaszki/mistral-33", "zzttbrdd/sn6_04m"]} | Sumail/Ame6 | null | [
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T08:41:30+00:00 | [] | [] | TAGS
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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:
* tomaszki/mistral-33
* zzttbrdd/sn6_04m
### Configuration
The following YAML con... | [
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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:
* [Citaman/command-r-15-layer](https://hugging... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Citaman/command-r-15-layer"]} | Citaman/command-r-14-layer | null | [
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] | null | 2024-04-17T08:42:58+00:00 | [] | [] | TAGS
#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-15-layer #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:
* Citaman/command-r-15-layer
### Configuration
The following YAML configuration w... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Reihaneh/wav2vec2_fy_nl_en_de_sv_common_voice_9 | null | [
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text-generation | transformers | # perlthoughts/Falkor-7b AWQ
- Model creator: [perlthoughts](https://huggingface.co/perlthoughts)
- Original model: [Falkor-7b](https://huggingface.co/perlthoughts/Falkor-7b)
<img src="falkor.png" width="300">
## Model summary
dragon-mistral-7b-v0 part of the dRAGon ("Delivering RAG On ...") model series, RAG-instr... | {"license": "apache-2.0", "tags": ["quantized", "4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "chatml"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious", "model-index": [{"name": "Falkor-7b", "results": [{"task": {"type": "text-generation", "name":... | solidrust/Falkor-7b-AWQ | null | [
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| # perlthoughts/Falkor-7b AWQ
- Model creator: perlthoughts
- Original model: Falkor-7b
<img src="URL" width="300">
## Model summary
dragon-mistral-7b-v0 part of the dRAGon ("Delivering RAG On ...") model series, RAG-instruct trained on top of a Mistral-7B base model.
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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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-7B-v0.1](https:... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mistralai/Mistral-7B-Instruct-v0.1", "Open-Orca/Mistral-7B-OpenOrca", "mistralai/Mistral-7B-v0.1"]} | jpquiroga/Mistral_7B_dare_ties_merge_instruct_open_orca | null | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the DARE TIES merge method using mistralai/Mistral-7B-v0.1 as a base.
### Models Merged
The following models were included in the merge:
* mistralai/Mistral-7B-Instruct-v0.1
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text-to-speech | null |
<img src="https://huggingface.co/the-cramer-project/akylai-tts-mini/resolve/main/photo_2024-04-07_15-59-52.png" alt="image" width="300" height="auto">
# 🇰🇬 AkylAI, TTS for Kyrgyz language
We present to you a model trained in the Kyrgyz language, which has been trained on 13 hours of speech and 7,000 samples, compl... | {"language": ["ky"], "license": "mit", "pipeline_tag": "text-to-speech"} | the-cramer-project/akylai-tts-mini | null | [
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<img src="URL alt="image" width="300" height="auto">
# 🇰🇬 AkylAI, TTS for Kyrgyz language
We present to you a model trained in the Kyrgyz language, which has been trained on 13 hours of speech and 7,000 samples, complete with source code and training scripts. The architecture is based on Matcha-TTS.
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question-answering | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Dofla/distilbert-squad | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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translation | transformers | # Gemago 2B Model Card
**Original Gemma Model Page**: [Gemma](https://ai.google.dev/gemma/docs)
**Model Page On Github**: [Gemago](https://github.com/deveworld/Gemago)
**Resources and Technical Documentation**:
* [Blog(Korean)](https://blog.worldsw.dev/tag/gemago/)
* [Original Google's Gemma-2B](https://huggingface.... | {"language": ["ko", "en"], "license": ["apache-2.0", "gemma"], "tags": ["gemma"], "datasets": ["traintogpb/aihub-koen-translation-integrated-base-10m"], "pipeline_tag": "translation", "widget": [{"text": "Korean:\n\ub098\ub77c\uc758 \ub9d0\uc774 \uc911\uad6d\uacfc \ub2ec\ub77c \ubb38\uc790\uc640 \uc11c\ub85c \ud1b5\ud5... | DevWorld/Gemago-2b | null | [
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| # Gemago 2B Model Card
Original Gemma Model Page: Gemma
Model Page On Github: Gemago
Resources and Technical Documentation:
* Blog(Korean)
* Original Google's Gemma-2B
* Training Code @ Github: Gemma-EasyLM (Orginial by Beomi)
Terms of Use: Terms
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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- _load_in_8bit: False
- _load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_qua... | {"library_name": "peft"} | andrk9/PIRSData | null | [
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translation | null | # Gemago 7B Model Card
**Original Gemma Model Page**: [Gemma](https://ai.google.dev/gemma/docs)
**Model Page On Github**: [Gemago](https://github.com/deveworld/Gemago)
**Resources and Technical Documentation**:
* [Blog(Korean)](https://blog.worldsw.dev/tag/gemago/)
* [Original Google's Gemma-7B](https://huggingface.... | {"language": ["ko", "en"], "license": ["apache-2.0", "gemma"], "tags": ["gemma"], "datasets": ["traintogpb/aihub-koen-translation-integrated-base-10m"], "pipeline_tag": "translation"} | DevWorld/Gemago-7b | null | [
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| # Gemago 7B Model Card
Original Gemma Model Page: Gemma
Model Page On Github: Gemago
Resources and Technical Documentation:
* Blog(Korean)
* Original Google's Gemma-7B
* Training Code @ Github: Gemma-EasyLM (Orginial by Beomi)
Terms of Use: Terms
Authors: Orginal Google, Fine-tuned by DevWorld
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
distilgpt2 - bnb 4bits
- Model creator: https://huggingface.co/distilbert/
- Original model: https://huggingface.co/distilbe... | {} | RichardErkhov/distilbert_-_distilgpt2-4bits | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"arxiv:1910.01108",
"arxiv:2201.08542",
"arxiv:2203.12574",
"arxiv:1910.09700",
"arxiv:1503.02531",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-17T08:52:53+00:00 | [
"1910.01108",
"2201.08542",
"2203.12574",
"1910.09700",
"1503.02531"
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| Quantization made by Richard Erkhov.
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distilgpt2 - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
language: en
tags:
- exbert
license: apache-2.0
datasets:
- openwebtext
model-index:
- name: distilgpt2
results:
- task:
type: t... | [
"# DistilGPT2\n\nDistilGPT2 (short for Distilled-GPT2) is an English-language model pre-trained with the supervision of the smallest version of Generative Pre-trained Transformer 2 (GPT-2). Like GPT-2, DistilGPT2 can be used to generate text. Users of this model card should also consider information about the desig... | [
"TAGS\n#transformers #safetensors #gpt2 #text-generation #arxiv-1910.01108 #arxiv-2201.08542 #arxiv-2203.12574 #arxiv-1910.09700 #arxiv-1503.02531 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
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text-generation | transformers |
# stablelm-3b-4e1t-dare1
stablelm-3b-4e1t-dare1 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [stabilityai/japanese-stablelm-3b-4e1t-instruct](https://huggingface.co/stabilityai/japanese-stablelm-3b-4e1t-instruct)
* [s... | {"tags": ["merge", "mergekit", "lazymergekit", "stabilityai/japanese-stablelm-3b-4e1t-instruct"], "base_model": ["stabilityai/japanese-stablelm-3b-4e1t-instruct", "stabilityai/japanese-stablelm-3b-4e1t-instruct"]} | aipib/stablelm-3b-4e1t-dare1 | null | [
"transformers",
"safetensors",
"stablelm_epoch",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"stabilityai/japanese-stablelm-3b-4e1t-instruct",
"custom_code",
"base_model:stabilityai/japanese-stablelm-3b-4e1t-instruct",
"autotrain_compatible",
"region:us"
] | null | 2024-04-17T08:53:58+00:00 | [] | [] | TAGS
#transformers #safetensors #stablelm_epoch #text-generation #merge #mergekit #lazymergekit #stabilityai/japanese-stablelm-3b-4e1t-instruct #custom_code #base_model-stabilityai/japanese-stablelm-3b-4e1t-instruct #autotrain_compatible #region-us
|
# stablelm-3b-4e1t-dare1
stablelm-3b-4e1t-dare1 is a merge of the following models using LazyMergekit:
* stabilityai/japanese-stablelm-3b-4e1t-instruct
* stabilityai/japanese-stablelm-3b-4e1t-instruct
## Configuration
## Usage
| [
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"## Usage"
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# controlnet-JaspervanLeuven/controlnet5k
These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "controlnet", "diffusers-training"], "base_model": "runwayml/stable-diffusion-v1-5", "inference": true} | JaspervanLeuven/controlnet2.5k | null | [
"diffusers",
"safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"controlnet",
"diffusers-training",
"base_model:runwayml/stable-diffusion-v1-5",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-17T08:54:09+00:00 | [] | [] | TAGS
#diffusers #safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #controlnet #diffusers-training #base_model-runwayml/stable-diffusion-v1-5 #license-creativeml-openrail-m #region-us
|
# controlnet-JaspervanLeuven/controlnet5k
These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.
## Intended uses & limitations
#### How to use
#### Limitations and bias
[TODO: provide examples of latent issues and potential remediations]
## Training details
... | [
"# controlnet-JaspervanLeuven/controlnet5k\n\nThese are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.",
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"#### How to use",
"#### Limitations and bias\n\n[TODO: provide examples of latent issues and potential remediations]",
"## ... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
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distilgpt2 - bnb 8bits
- Model creator: https://huggingface.co/distilbert/
- Original model: https://huggingface.co/distilbe... | {} | RichardErkhov/distilbert_-_distilgpt2-8bits | null | [
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"text-generation",
"arxiv:1910.01108",
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"arxiv:1503.02531",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-17T08:54:41+00:00 | [
"1910.01108",
"2201.08542",
"2203.12574",
"1910.09700",
"1503.02531"
] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #arxiv-1910.01108 #arxiv-2201.08542 #arxiv-2203.12574 #arxiv-1910.09700 #arxiv-1503.02531 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
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distilgpt2 - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
language: en
tags:
- exbert
license: apache-2.0
datasets:
- openwebtext
model-index:
- name: distilgpt2
results:
- task:
type: t... | [
"# DistilGPT2\n\nDistilGPT2 (short for Distilled-GPT2) is an English-language model pre-trained with the supervision of the smallest version of Generative Pre-trained Transformer 2 (GPT-2). Like GPT-2, DistilGPT2 can be used to generate text. Users of this model card should also consider information about the desig... | [
"TAGS\n#transformers #safetensors #gpt2 #text-generation #arxiv-1910.01108 #arxiv-2201.08542 #arxiv-2203.12574 #arxiv-1910.09700 #arxiv-1503.02531 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n",
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
gpt2-medium - bnb 4bits
- Model creator: https://huggingface.co/openai-community/
- Original model: https://huggingface.co/o... | {} | RichardErkhov/openai-community_-_gpt2-medium-4bits | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-17T08:55:09+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
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gpt2-medium - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language: en
license: mit
-------------------------
GPT-2 Medium
============
Model Details
-------------
... | [
"#### Direct Use\n\n\nIn their model card about GPT-2, OpenAI wrote:\n\n\n\n> \n> The primary intended users of these models are AI researchers and practitioners.\n> \n> \n> We primarily imagine these language models will be used by researchers to better understand the behaviors, capabilities, biases, and constrain... | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
distilgpt2 - GGUF
- Model creator: https://huggingface.co/distilbert/
- Original model: https://huggingface.co/distilbert/di... | {} | RichardErkhov/distilbert_-_distilgpt2-gguf | null | [
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"arxiv:1910.01108",
"arxiv:2201.08542",
"arxiv:2203.12574",
"arxiv:1910.09700",
"arxiv:1503.02531",
"region:us"
] | null | 2024-04-17T08:56:13+00:00 | [
"1910.01108",
"2201.08542",
"2203.12574",
"1910.09700",
"1503.02531"
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#gguf #arxiv-1910.01108 #arxiv-2201.08542 #arxiv-2203.12574 #arxiv-1910.09700 #arxiv-1503.02531 #region-us
| Quantization made by Richard Erkhov.
Github
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distilgpt2 - GGUF
* Model creator: URL
* Original model: URL
Name: distilgpt2.Q2\_K.gguf, Quant method: Q2\_K, Size: 0.06GB
Name: distilgpt2.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 0.06GB
Name: distilgpt2.IQ3\_S.gguf, Quant method: I... | [
"#### Limitations and Risks\n\n\n\nClick to expand\nCONTENT WARNING: Readers should be aware this section contains content that is disturbing, offensive, and can propagate historical and current stereotypes.\n\n\nAs the developers of GPT-2 (OpenAI) note in their model card, “language models like GPT-2 reflect the b... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
gpt2-medium - bnb 8bits
- Model creator: https://huggingface.co/openai-community/
- Original model: https://huggingface.co/o... | {} | RichardErkhov/openai-community_-_gpt2-medium-8bits | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-17T08:56:23+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
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gpt2-medium - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language: en
license: mit
-------------------------
GPT-2 Medium
============
Model Details
-------------
... | [
"#### Direct Use\n\n\nIn their model card about GPT-2, OpenAI wrote:\n\n\n\n> \n> The primary intended users of these models are AI researchers and practitioners.\n> \n> \n> We primarily imagine these language models will be used by researchers to better understand the behaviors, capabilities, biases, and constrain... | [
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text-to-image | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | Niggendar/MatrixHentaiPony_v143 | null | [
"diffusers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | null | 2024-04-17T08:57:05+00:00 | [
"1910.09700"
] | [] | TAGS
#diffusers #safetensors #arxiv-1910.09700 #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
gpt2-medium - GGUF
- Model creator: https://huggingface.co/openai-community/
- Original model: https://huggingface.co/openai... | {} | RichardErkhov/openai-community_-_gpt2-medium-gguf | null | [
"gguf",
"arxiv:1910.09700",
"region:us"
] | null | 2024-04-17T08:57:16+00:00 | [
"1910.09700"
] | [] | TAGS
#gguf #arxiv-1910.09700 #region-us
| Quantization made by Richard Erkhov.
Github
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Request more models
gpt2-medium - GGUF
* Model creator: URL
* Original model: URL
Name: gpt2-medium.Q2\_K.gguf, Quant method: Q2\_K, Size: 0.16GB
Name: gpt2-medium.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 0.18GB
Name: gpt2-medium.IQ3\_S.gguf, Quant metho... | [
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text-generation | transformers | # nbeerbower/HeroBophades-2x7B AWQ
- Model creator: [nbeerbower](https://huggingface.co/nbeerbower)
- Original model: [HeroBophades-2x7B](https://huggingface.co/HeroBophades-2x7B)
## Model Summary
This is an experimental M... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "chatml"], "datasets": ["jondurbin/truthy-dpo-v0.1", "kyujinpy/orca_math_dpo"], "base_model": ["nbeerbower/bophades-mistral-truthy-DPO-7B", "nbeerbowe... | solidrust/HeroBophades-2x7B-AWQ | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"4-bit",
"AWQ",
"autotrain_compatible",
"endpoints_compatible",
"chatml",
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"dataset:kyujinpy/orca_math_dpo",
"base_model:nbeerbower/bophades-mistral-truthy-DPO-7B",
"license:apache-2.0",
... | null | 2024-04-17T08:57:20+00:00 | [] | [
"en"
] | TAGS
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| # nbeerbower/HeroBophades-2x7B AWQ
- Model creator: nbeerbower
- Original model: HeroBophades-2x7B
!image/png
## Model Summary
This is an experimental Mixture of Experts LLM built with (mergekit)[URL
### Configuration
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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:
* [Citaman/command-r-14-layer](https://hugging... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Citaman/command-r-14-layer"]} | Citaman/command-r-13-layer | 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:
* Citaman/command-r-14-layer
### Configuration
The following YAML configuration w... | [
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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": []} | synapseml/nous-7b-v1 | null | [
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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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. -->
# lab_11_distilbert_sentiment
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": "lab_11_distilbert_sentiment", "results": []}]} | Malecc/lab_11_distilbert_sentiment | null | [
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|
# lab_11_distilbert_sentiment
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0275
- Accuracy: 0.3771
- F1: 0.2633
## Model description
More information needed
## Intended uses & limitations
More information ne... | [
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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. -->
# xlm-roberta-base-finetuned-panx-de-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-robert... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de-fr", "results": []}]} | taoyoung/xlm-roberta-base-finetuned-panx-de-fr | null | [
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| xlm-roberta-base-finetuned-panx-de-fr
=====================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1881
* F1: 0.8633
Model description
-----------------
More information needed
Intended uses... | [
"### 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: 3",
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Tiny MR - Chirag Brahme
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisp... | {"language": ["mr"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Tiny MR - Chirag Brahme", "results": [{"task": {"type": "automatic-speech-recognition", "nam... | PolyChirag/Marathi_WhisperASR | null | [
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| Whisper Tiny MR - Chirag Brahme
===============================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7911
* Wer: 69.4410
Model description
-----------------
More information needed
Intend... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
gpt2-large - bnb 4bits
- Model creator: https://huggingface.co/openai-community/
- Original model: https://huggingface.co/op... | {} | RichardErkhov/openai-community_-_gpt2-large-4bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
gpt2-large - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language: en
license: mit
-------------------------
GPT-2 Large
===========
Table of Contents
--------------... | [
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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. -->
# cantonese-gemma-sft-lora
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the ... | {"license": "gemma", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "alignment-handbook", "generated_from_trainer"], "datasets": ["HuggingFaceH4/deita-10k-v0-sft", "hon9kon9ize/yue-alpaca-chat"], "base_model": "google/gemma-2b", "model-index": [{"name": "can... | hon9kon9ize/cantonese-gemma-sft-lora | null | [
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|
# cantonese-gemma-sft-lora
This model is a fine-tuned version of google/gemma-2b on the HuggingFaceH4/deita-10k-v0-sft and the hon9kon9ize/yue-alpaca-chat datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informat... | [
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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": []} | HoangLe1312/gemma-2b-code-solver | 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 | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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#peft #safetensors #llama #region-us
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Reihaneh/wav2vec2_fy10 | null | [
"transformers",
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"endpoints_compatible",
"region:us"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
gpt2-large - bnb 8bits
- Model creator: https://huggingface.co/openai-community/
- Original model: https://huggingface.co/op... | {} | RichardErkhov/openai-community_-_gpt2-large-8bits | null | [
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#transformers #safetensors #gpt2 #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
gpt2-large - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language: en
license: mit
-------------------------
GPT-2 Large
===========
Table of Contents
--------------... | [
"#### Direct Use\n\n\nIn their model card about GPT-2, OpenAI wrote:\n\n\n\n> \n> The primary intended users of these models are AI researchers and practitioners.\n> \n> \n> We primarily imagine these language models will be used by researchers to better understand the behaviors, capabilities, biases, and constrain... | [
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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": []} | 0x0mom/sl8 | 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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zero-shot-image-classification | transformers | # Model Card for PickScore v1
This model is a scoring function for images generated from text. It takes as input a prompt and a generated image and outputs a score.
It can be used as a general scoring function, and for tasks such as human preference prediction, model evaluation, image ranking, and more.
See our pape... | {} | krnl/PickScore_v1 | null | [
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#transformers #pytorch #safetensors #clip #zero-shot-image-classification #arxiv-2305.01569 #endpoints_compatible #region-us
| # Model Card for PickScore v1
This model is a scoring function for images generated from text. It takes as input a prompt and a generated image and outputs a score.
It can be used as a general scoring function, and for tasks such as human preference prediction, model evaluation, image ranking, and more.
See our pape... | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
gpt2-large - GGUF
- Model creator: https://huggingface.co/openai-community/
- Original model: https://huggingface.co/openai-... | {} | RichardErkhov/openai-community_-_gpt2-large-gguf | null | [
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#gguf #arxiv-1910.09700 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
gpt2-large - GGUF
* Model creator: URL
* Original model: URL
Name: gpt2-large.Q2\_K.gguf, Quant method: Q2\_K, Size: 0.32GB
Name: gpt2-large.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 0.36GB
Name: gpt2-large.IQ3\_S.gguf, Quant method: I... | [
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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:
* [Citaman/command-r-13-layer](https://hugging... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Citaman/command-r-13-layer"]} | Citaman/command-r-12-layer | 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:
* Citaman/command-r-13-layer
### Configuration
The following YAML configuration w... | [
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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/orthorus_v3_125b
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/orthorus_v3_125... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "ibivibiv/orthorus_v3_125b", "quantized_by": "mradermacher"} | mradermacher/orthorus_v3_125b-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
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(sorted by size, not necessarily quality. ... | [] | [
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text-generation | transformers |
# stablelm-3b-4e1t-slerp1
stablelm-3b-4e1t-slerp1 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [stabilityai/japanese-stablelm-3b-4e1t-instruct](https://huggingface.co/stabilityai/japanese-stablelm-3b-4e1t-instruct)
* ... | {"tags": ["merge", "mergekit", "lazymergekit", "stabilityai/japanese-stablelm-3b-4e1t-instruct"], "base_model": ["stabilityai/japanese-stablelm-3b-4e1t-instruct", "stabilityai/japanese-stablelm-3b-4e1t-instruct"]} | aipib/stablelm-3b-4e1t-slerp1 | null | [
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"autotrain_compatible",
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|
# stablelm-3b-4e1t-slerp1
stablelm-3b-4e1t-slerp1 is a merge of the following models using LazyMergekit:
* stabilityai/japanese-stablelm-3b-4e1t-instruct
* stabilityai/japanese-stablelm-3b-4e1t-instruct
## Configuration
## Usage
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0417MAD1
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0417MAD1", "results": []}]} | Litzy619/V0417MAD1 | null | [
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"generated_from_trainer",
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0417MAD1
=========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0615
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
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": []} | baraah/blip2-opt-2.7b-football-captions-adapters | null | [
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"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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text-generation | transformers |
# Tess-2.0-Mixtral-8x22B
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Mixtral-8x22B was trained on the mistral-community/Mixtral-8x22B-v0.1 base.
# Prompt Format
``... | {"license": "apache-2.0"} | blockblockblock/Tess-2.0-Mixtral-8x22B-bpw2.25 | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T09:08:59+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
!Tesoro
# Tess-2.0-Mixtral-8x22B
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Mixtral-8x22B was trained on the mistral-community/Mixtral-8x22B-v0.1 base.
# Prompt Format
# Training Methodology
Tess-2.0-Mixtral-8x22B was trained on the Tess-2.0 dataset. T... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
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- bnb_4bit_quant_type: nf4
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#peft #llama #4-bit #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
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- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
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- bnb_4bit_quant_type: nf4
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# speaker-segmentation-fine-tuned-callhome-jpn
This model is a fine-tuned version of [pyannote/segmentation-3.0](https://huggingfa... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["diarizers-community/callhome"], "base_model": "pyannote/segmentation-3.0", "model-index": [{"name": "speaker-segmentation-fine-tuned-callhome-jpn", "results": []}]} | sanchit-gandhi/speaker-segmentation-fine-tuned-callhome-jpn | null | [
"transformers",
"tensorboard",
"safetensors",
"pyannet",
"generated_from_trainer",
"dataset:diarizers-community/callhome",
"base_model:pyannote/segmentation-3.0",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T09:09:45+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #pyannet #generated_from_trainer #dataset-diarizers-community/callhome #base_model-pyannote/segmentation-3.0 #license-mit #endpoints_compatible #region-us
| speaker-segmentation-fine-tuned-callhome-jpn
============================================
This model is a fine-tuned version of pyannote/segmentation-3.0 on the diarizers-community/callhome jpn dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6261
* Der: 0.2083
* False Alarm: 0.0760
* Mis... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.001\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1.0",
"### Trai... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning... | [
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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:
* [zzttbrdd/sn6_05m](https://huggingface.co/zz... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["zzttbrdd/sn6_05m", "zzttbrdd/sn6_04m"]} | Sumail/Ame7 | null | [
"transformers",
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"base_model:zzttbrdd/sn6_05m",
"base_model:zzttbrdd/sn6_04m",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T09:10:49+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #mergekit #merge #conversational #base_model-zzttbrdd/sn6_05m #base_model-zzttbrdd/sn6_04m #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:
* zzttbrdd/sn6_05m
* zzttbrdd/sn6_04m
### Configuration
The following YAML config... | [
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"### Configurat... | [
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image-feature-extraction | transformers |
# Model Card for InternViT-6B-448px-V1-5
<p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/AUE-3OBtfr9vDA7Elgkhd.webp" alt="Image Description" width="300" height="300">
</p>
\[[InternVL 1.5 Technical Report](https://arxiv.org/abs/2404.16821)\] \[[Paper](htt... | {"license": "mit", "datasets": ["laion/laion2B-en", "laion/laion-coco", "laion/laion2B-multi", "kakaobrain/coyo-700m", "conceptual_captions", "wanng/wukong100m"], "pipeline_tag": "image-feature-extraction"} | OpenGVLab/InternViT-6B-448px-V1-5 | null | [
"transformers",
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"dataset:conceptual_captions",
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"... | null | 2024-04-17T09:11:24+00:00 | [
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======================================
[InternVL 1.5 Technical Report] [Paper] [GitHub] [Chat Demo] [中文解读]
We develop InternViT-6B-448px-V1-5 based on the pre-training of the strong foundation of InternViT-6B-448px-V1.2. In this update, the resolution of trai... | [
"### Vision Foundation model",
"### Multimodal Large Language Model (MLLM)\n\n\n\nModel Usage (Image Embeddings)\n------------------------------\n\n\nIf you find this project useful in your research, please consider citing:\n\n\nAcknowledgement\n---------------\n\n\nInternVL is built with reference to the code of... | [
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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. -->
# xlm-roberta-base-finetuned-panx-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-fr", "results": []}]} | taoyoung/xlm-roberta-base-finetuned-panx-fr | null | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T09:11:59+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-fr
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3310
* F1: 0.8441
Model description
-----------------
More information needed
Intended uses & l... | [
"### 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: 3",
"### Training... | [
"TAGS\n#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
gpt2-xl - bnb 4bits
- Model creator: https://huggingface.co/openai-community/
- Original model: https://huggingface.co/opena... | {} | RichardErkhov/openai-community_-_gpt2-xl-4bits | null | [
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"safetensors",
"gpt2",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-17T09:12:11+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
gpt2-xl - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language: en
license: mit
-------------------------
GPT-2 XL
========
Table of Contents
-----------------
* M... | [
"#### Direct Use\n\n\nIn their model card about GPT-2, OpenAI wrote:\n\n\n\n> \n> The primary intended users of these models are AI researchers and practitioners.\n> \n> \n> We primarily imagine these language models will be used by researchers to better understand the behaviors, capabilities, biases, and constrain... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
gpt2-xl - bnb 8bits
- Model creator: https://huggingface.co/openai-community/
- Original model: https://huggingface.co/opena... | {} | RichardErkhov/openai-community_-_gpt2-xl-8bits | null | [
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"safetensors",
"gpt2",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-17T09:13:28+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
gpt2-xl - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language: en
license: mit
-------------------------
GPT-2 XL
========
Table of Contents
-----------------
* M... | [
"#### Direct Use\n\n\nIn their model card about GPT-2, OpenAI wrote:\n\n\n\n> \n> The primary intended users of these models are AI researchers and practitioners.\n> \n> \n> We primarily imagine these language models will be used by researchers to better understand the behaviors, capabilities, biases, and constrain... | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
gpt2-xl - GGUF
- Model creator: https://huggingface.co/openai-community/
- Original model: https://huggingface.co/openai-com... | {} | RichardErkhov/openai-community_-_gpt2-xl-gguf | null | [
"gguf",
"arxiv:1910.09700",
"region:us"
] | null | 2024-04-17T09:16:12+00:00 | [
"1910.09700"
] | [] | TAGS
#gguf #arxiv-1910.09700 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
gpt2-xl - GGUF
* Model creator: URL
* Original model: URL
Name: gpt2-xl.Q2\_K.gguf, Quant method: Q2\_K, Size: 0.84GB
Name: gpt2-xl.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 0.84GB
Name: gpt2-xl.IQ3\_S.gguf, Quant method: IQ3\_S, Size:... | [
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multiple-choice | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-uncased-finetuned-swag
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-unca... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "bert-base-uncased-finetuned-swag", "results": []}]} | JuliaLFK/bert-base-uncased-finetuned-swag | null | [
"transformers",
"tensorboard",
"safetensors",
"bert",
"multiple-choice",
"generated_from_trainer",
"base_model:bert-base-uncased",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T09:16:31+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #multiple-choice #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
| bert-base-uncased-finetuned-swag
================================
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: 1.0564
* Accuracy: 0.7887
Model description
-----------------
More information needed
Intended uses ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-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: 3",
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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. -->
# CS505_COQE_viT5_train_Instruction0_SOAPL
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/VietAI... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_SOAPL", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_SOAPL | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:VietAI/vit5-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T09:16:50+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# CS505_COQE_viT5_train_Instruction0_SOAPL
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
"# CS505_COQE_viT5_train_Instruction0_SOAPL\n\nThis model is a fine-tuned version of VietAI/vit5-large on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Trai... | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# CS505_COQE_viT5_train_Instruction0_SOAPL\n\nThis model is a fine-tuned version of Vi... | [
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"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# CS505_COQE_viT5_train_Instruction0_SOAPL\n\nThis model is a fine-tuned version of VietAI/v... |
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