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# Download tiny llama llamafile
- Go to https://huggingface.co/aviol/TinyLlama1.1-llamafile-bootstraped/blob/main/TinyLlama-1.1B.llamafile
- Download this file using the download button.
# Run the server
```shell
chmod +x TinyLlama-1.1B.llamafile
./TinyLlama-1.1B.llamafile --server --host 0.0.0.0 --port 1234
```
... | {"license": "apache-2.0"} | aviol/TinyLlama1.1-llamafile-bootstraped | null | [
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | pamunarr/P7EjOpc1-ModLen | null | [
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# Amazing!
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audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-base-960h-finetuned-gtzan
This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/fa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["marsyas/gtzan"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base-960h", "model-index": [{"name": "wav2vec2-base-960h-finetuned-gtzan", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "datase... | danielgh/wav2vec2-base-960h-finetuned-gtzan | null | [
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| wav2vec2-base-960h-finetuned-gtzan
==================================
This model is a fine-tuned version of facebook/wav2vec2-base-960h on the GTZAN dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5055
* Accuracy: 0.87
Model description
-----------------
More information needed
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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. -->
# wiki_asp-soccer_player_8353_bart-base
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| wiki\_asp-soccer\_player\_8353\_bart-base
=========================================
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* Rouge1: 0.1482
* Rouge2: 0.046
* Rougel: 0.1233
* Rougelsum: 0.1234
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text-generation | null | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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text-generation | transformers | <!-- header start -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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text-generation | transformers |
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text-generation | transformers |
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<img src="https://huggingface.co/Pclanglais/Jambert/resolve/main/jambert_logo.jpg" alt="image" width="300" height="auto">
***Jambert*** is an experimental fine-tuned model based on Jamba and specialized RAG tasks and document synthesis.
Given a question and a list of references, Jambert will write a summarized versi... | {"language": ["fr"], "license": "apache-2.0", "tags": ["axolotl"], "base_model": "ai21labs/Jamba-v0.1"} | Pclanglais/Jambert | null | [
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"fr"
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|
<img src="URL alt="image" width="300" height="auto">
*Jambert* is an experimental fine-tuned model based on Jamba and specialized RAG tasks and document synthesis.
Given a question and a list of references, Jambert will write a summarized version.
As an initial test, Jambert is for now trained on a 4,096 token cont... | [
"## Training.\nJambert was trained with Axolotl on a set of administrative documents and associated synthesis in French and English. It could work out as well in other languages, as this task has been proven to transfer easily accross languages.\n\n<img src=\"URL alt=\"Built with Axolotl\" width=\"200\" height=\"32... | [
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text-generation | transformers | converted to onnx from here https://huggingface.co/microsoft/phi-2
fp16 with weights block quantized to int4 whenever visible.
Last 3 layers are kept in fp32 to avoid fp16 overflow.
Some outputs are casted to fp32 to make it friendly for ort-web. | {"license": "mit"} | schmuell/phi2-int4 | null | [
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#transformers #onnx #phi #text-generation #custom_code #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| converted to onnx from here URL
fp16 with weights block quantized to int4 whenever visible.
Last 3 layers are kept in fp32 to avoid fp16 overflow.
Some outputs are casted to fp32 to make it friendly for ort-web. | [] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/stablelm-8-copy | null | [
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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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": []} | Giuseppe23/mistral_7b_athlos | null | [
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/arlineka/Brunhilde-2x7b-MOE-DPO-v.01.5
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not pl... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["moe"], "base_model": "arlineka/Brunhilde-2x7b-MOE-DPO-v.01.5", "quantized_by": "mradermacher"} | mradermacher/Brunhilde-2x7b-MOE-DPO-v.01.5-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# LoRA text2image fine-tuning - firella/202404032300-oldvis-choropleth-lora-sdxl
These are LoRA adaption weights for stab... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "inference": true} | firella/202404032300-oldvis-choropleth-lora-sdxl | null | [
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"license:creativeml-openrail-m",
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#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #diffusers-training #lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-creativeml-openrail-m #region-us
|
# LoRA text2image fine-tuning - firella/202404032300-oldvis-choropleth-lora-sdxl
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were fine-tuned on the ./dataset/oldvis-choropleth/train dataset. You can find some example images in the following.
!img_0
!img_1
!img_2
!img... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | JaimeArboleda/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
text-to-image | diffusers |
# はじめに
このモデルはStable Diffusionを0から作りたい人のモデルです。どこから作るかは個々人にお任せします。
## SDXL
### 単一ファイル
[sdxl_0_n.safetensors](sdxl_0_n.safetensors)はU-Netをランダムな値に置き換えています。作り方は以下のとおりです。
```python
from safetensors import safe_open
from safetensors.torch import save_file
import torch
tensors = {}
with safe_open("/path/to/sd_xl_base_1.0.... | {"license": "openrail++"} | alfredplpl/sd-0 | null | [
"diffusers",
"safetensors",
"license:openrail++",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | null | 2024-04-03T15:10:32+00:00 | [] | [] | TAGS
#diffusers #safetensors #license-openrail++ #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# はじめに
このモデルはStable Diffusionを0から作りたい人のモデルです。どこから作るかは個々人にお任せします。
## SDXL
### 単一ファイル
sdxl_0_n.safetensorsはU-Netをランダムな値に置き換えています。作り方は以下のとおりです。
このファイルをsd-scriptsでフルファインチューンをしてください。学習率は1e-4がおすすめです。(Stable Diffusion XL公式リポジトリより)
また、SDXLの場合、OpenCLIPの都合上、泣き顔などができないため、テキストエンコーダーの学習を行うこともおすすめします。
また、学習しようとしても、損失関数の値が１にな... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-lyrics-emotion
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggin... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-lyrics-emotion", "results": []}]} | sherelyn912/distilbert-base-uncased-lyrics-emotion | null | [
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"distilbert",
"text-classification",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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|
# distilbert-base-uncased-lyrics-emotion
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0uncle0/Uncle21 | null | [
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"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:
- Language(s) (NLP):
- License... | [
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text-classification | setfit |
# SetFit with sentence-transformers/paraphrase-mpnet-base-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2) as the S... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "widget": [{"text": "Boxhead 2Play "}, {"text": "Advertisement"}], "pipeline_tag": "text-classification", "inference": true, "base_model":... | spaly99/test-model | null | [
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| SetFit with sentence-transformers/paraphrase-mpnet-base-v2
==========================================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/paraphrase-mpnet-base-v2 as the Sentence Transformer embedding model. A LogisticRegression... | [
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: sentence-transformers/paraphrase-mpnet-base-v2\n* Classification head: a LogisticRegression instance\n* Maximum Sequence Length: 512 tokens\n* Number of Classes: 2 classes",
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Base GA-EN Speech Translation
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/... | {"language": ["ga", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["generated_from_trainer"], "datasets": ["ymoslem/IWSLT2023-GA-EN", "ymoslem/FLEURS-GA-EN"], "metrics": ["bleu", "wer", "chrf"], "base_model": "openai/whisper-base", "model-index": [{"name": "Whisper Base GA-EN Speech Translatio... | ymoslem/whisper-base-ga2en-v1.2 | null | [
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| Whisper Base GA-EN Speech Translation
=====================================
This model is a fine-tuned version of openai/whisper-base on an unknown dataset.
The best model (this version) is at checkpoint 1000, epoch 2.54, and it achieves the following results on the evaluation set:
* Loss: 1.9005
* Bleu: 21.83
* Ch... | [
"### Experiment\n\n\n* Data (v1.1: IWSLT2023-GA-EN; v1.2: +FLEURS-GA-EN)",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and eps... | [
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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. -->
# coref-mem-base
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the No... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/flan-t5-base", "model-index": [{"name": "coref-mem-base", "results": []}]} | eddieman78/coref-mem-base | null | [
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| coref-mem-base
==============
This model is a fine-tuned version of google/flan-t5-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0339
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More inform... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1\n* mixed\\_prec... | [
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text-generation | null |
# Artples/L-MChat-7b-Q4_K_M-GGUF
This model was converted to GGUF format from [`Artples/L-MChat-7b`](https://huggingface.co/Artples/L-MChat-7b) using llama.cpp via the GGML.ai's [GGUF-it](https://huggingface.co/spaces/ggml-org/GGUF-it) space.
Refer to the [original model card](https://huggingface.co/Artples/L-MChat-7b... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "Nexusflow/Starling-LM-7B-beta", "FuseAI/FuseChat-7B-VaRM", "llama-cpp"], "base_model": ["Nexusflow/Starling-LM-7B-beta", "FuseAI/FuseChat-7B-VaRM"], "pipeline_tag": "text-generation"} | Artples/L-MChat-7b-Q4_K_M-GGUF | null | [
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"base_model:FuseAI/FuseChat-7B-VaRM",
"license:apache-2.0",
"region:us"
] | null | 2024-04-03T15:19:03+00:00 | [] | [] | TAGS
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|
# Artples/L-MChat-7b-Q4_K_M-GGUF
This model was converted to GGUF format from 'Artples/L-MChat-7b' using URL via the URL's GGUF-it space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You can also... | [
"# Artples/L-MChat-7b-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Artples/L-MChat-7b' using URL via the URL's GGUF-it space.\nRefer to the original model card for more details on the model.",
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text-generation | transformers |
**Note:**
Our multiverse training method is not related to the multiverse paper, it is a new technique that we will hopefully publish soon
Quantized int4 version of [MultiVerse_70B](https://huggingface.co/MTSAIR/MultiVerse_70B) with AWQ quantization method
I, a learning bot, have been enhanced through a groundbrea... | {"license": "other", "license_name": "mts-ai", "license_link": "LICENSE"} | MTSAIR/MultiVerse_70B_AWQ | null | [
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|
Note:
Our multiverse training method is not related to the multiverse paper, it is a new technique that we will hopefully publish soon
Quantized int4 version of MultiVerse_70B with AWQ quantization method
I, a learning bot, have been enhanced through a groundbreaking training method. I represent an innovative idea... | [] | [
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text-generation | null | GGUFs for Fireplace 34b - https://huggingface.co/ValiantLabs/Fireplace-34b
iMatrix GGUFs generated with Kalomaze's semi-random groups_merged.txt
Files >50gb have been split with peazip. Recombine with peazip, 7zip, or simple concatenate command. | {"language": ["en"], "license": "other", "tags": ["fireplace", "function-calling", "code", "code-instruct", "conversational", "text-generation-inference", "valiant", "valiant-labs", "smaug", "yi", "yi-34b", "llama", "llama-2", "llama-2-chat", "34b"], "pipeline_tag": "text-generation", "model_type": "llama", "license_na... | MarsupialAI/Fireplace-34b_iMatrix_GGUF | null | [
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| GGUFs for Fireplace 34b - URL
iMatrix GGUFs generated with Kalomaze's semi-random groups_merged.txt
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] |
sentence-similarity | transformers |
# NghiemAbe/PhoBert-base-GIST
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model bec... | {"language": ["vi"], "library_name": "transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | NghiemAbe/PhoBert-base-GIST | null | [
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|
# NghiemAbe/PhoBert-base-GIST
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
... | [
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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. -->
# layoutxlm-base-tune
This model is a fine-tuned version of [microsoft/layoutxlm-base](https://huggingface.co/microsoft/layoutxlm-... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "datasets": ["xfun"], "base_model": "microsoft/layoutxlm-base", "model-index": [{"name": "layoutxlm-base-tune", "results": []}]} | BDomantas/layoutxlm-base-tune | null | [
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"safetensors",
"layoutlmv2",
"token-classification",
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"dataset:xfun",
"base_model:microsoft/layoutxlm-base",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T15:25:43+00:00 | [] | [] | TAGS
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|
# layoutxlm-base-tune
This model is a fine-tuned version of microsoft/layoutxlm-base on the xfun dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparame... | [
"# layoutxlm-base-tune\n\nThis model is a fine-tuned version of microsoft/layoutxlm-base on the xfun dataset.",
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text-generation | transformers |
# Mistral-7B-Experiment30-slerp
Mistral-7B-Experiment30-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
* [yam-peleg/Experiment30-7B](https://huggingface.co/yam-peleg/Experim... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "mistralai/Mistral-7B-Instruct-v0.2", "yam-peleg/Experiment30-7B"]} | Dersonic0071/Mistral-7B-Experiment30-slerp | null | [
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|
# Mistral-7B-Experiment30-slerp
Mistral-7B-Experiment30-slerp is a merge of the following models using mergekit:
* mistralai/Mistral-7B-Instruct-v0.2
* yam-peleg/Experiment30-7B
## Configuration
| [
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text-generation | transformers | # iTab-LLM
iTab-LLM is the Llama-2 7B model further trained with massive tables. This model is pretrained dedicating to solving the predictive tasks related to tabular data.
For the details of our model, please refer to our paper: Unleashing the Potential of Large Language Models for Predictive Tabular Tasks in Data ... | {"language": ["en"]} | OldBirdAZ/itab-llm | null | [
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"llama",
"text-generation",
"en",
"arxiv:2403.20208",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-03T15:35:49+00:00 | [
"2403.20208"
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"en"
] | TAGS
#transformers #safetensors #llama #text-generation #en #arxiv-2403.20208 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # iTab-LLM
iTab-LLM is the Llama-2 7B model further trained with massive tables. This model is pretrained dedicating to solving the predictive tasks related to tabular data.
For the details of our model, please refer to our paper: Unleashing the Potential of Large Language Models for Predictive Tabular Tasks in Data ... | [
"# iTab-LLM\n\niTab-LLM is the Llama-2 7B model further trained with massive tables. This model is pretrained dedicating to solving the predictive tasks related to tabular data. \nFor the details of our model, please refer to our paper: Unleashing the Potential of Large Language Models for Predictive Tabular Tasks ... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-finetuned-ner
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-ner", "results": []}]} | walterg777/bert-finetuned-ner | null | [
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"license:apache-2.0",
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"endpoints_compatible",
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#transformers #tensorboard #safetensors #bert #token-classification #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bert-finetuned-ner
==================
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0652
* Precision: 0.9324
* Recall: 0.9497
* F1: 0.9410
* Accuracy: 0.9860
Model description
-----------------
More information nee... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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text-generation | mlx |
# jesusoctavioas/wikisql-4bit-1k
This model was converted to MLX format from [`mistralai/Mistral-7B-v0.1`]() using mlx-lm version **0.6.0**.
Refer to the [original model card](https://huggingface.co/mistralai/Mistral-7B-v0.1) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
fro... | {"language": ["en"], "license": "apache-2.0", "tags": ["pretrained", "mlx"], "pipeline_tag": "text-generation", "inference": {"parameters": {"temperature": 0.7}}} | jesusoctavioas/wikisql-4bit-1k | null | [
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"en"
] | TAGS
#mlx #safetensors #mistral #pretrained #text-generation #en #license-apache-2.0 #region-us
|
# jesusoctavioas/wikisql-4bit-1k
This model was converted to MLX format from ['mistralai/Mistral-7B-v0.1']() using mlx-lm version 0.6.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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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/NousResearch-Yarn-Mistral-7b-128k-bnb-8bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #pruna-ai #custom_code #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n",
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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": []} | adjohn1313/explainable-gpt-j-6B | 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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- Model type:
- Language(s) (NLP):
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null | null | This is a copy of the "best" snapshot from: https://github.com/advimman/lama | {"license": "apache-2.0"} | Manbehindthemadness/describe_lama | null | [
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text-generation | transformers | Not my model(obviously); downloaded the Mistral release model from https://models.mistralcdn.com/mistral-7b-v0-2/mistral-7B-v0.2.tar and uploaded for my own sanity(and fine-tuning), since it's still not uploaded on Mistral repo.
The standard code works:
```python
from transformers import AutoTokenizer, AutoModelForCa... | {"pipeline_tag": "text-generation"} | redscroll/Mistral-7B-v0.2 | null | [
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#transformers #pytorch #safetensors #mistral #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Not my model(obviously); downloaded the Mistral release model from URL and uploaded for my own sanity(and fine-tuning), since it's still not uploaded on Mistral repo.
The standard code works:
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | joslinthomas/Huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
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"region:us"
] | null | 2024-04-03T15:47:46+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - HiImKing1509/sdxl-animev2-lora-KenjiKenjiKenji-20imgs
<Gallery />
## Model description
These a... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "Linaqruf/animagine-xl-2.0", "instance_prompt": "a KenjiKenjiKenji man", "widget": []} | HiImKing1509/sdxl-animev2-lora-KenjiKenjiKenji-20imgs | null | [
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"license:openrail++",
"has_space",
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|
# SDXL LoRA DreamBooth - HiImKing1509/sdxl-animev2-lora-KenjiKenjiKenji-20imgs
<Gallery />
## Model description
These are HiImKing1509/sdxl-animev2-lora-KenjiKenjiKenji-20imgs LoRA adaption weights for Linaqruf/animagine-xl-2.0.
The weights were trained using DreamBooth.
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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": []} | adjohn1313/blackbox-gpt-j-6B | 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-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712159443246x567905121710479100
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
A TOK character
```
Use this keyword to trigger your custom model in your prompts... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["Theuzs/Marvel_Boy"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A TOK character", "inference": false} | squaadinc/1712159443246x567905121710479100 | null | [
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"region:us"
] | null | 2024-04-03T15:51:19+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-Theuzs/Marvel_Boy #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1712159443246x567905121710479100
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712159461506x289579871993248960
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
A TOK character
```
Use this keyword to trigger your custom model in your prompts... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["Theuzs/Marvel_Boy"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A TOK character", "inference": false} | squaadinc/1712159461506x289579871993248960 | null | [
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"region:us"
] | null | 2024-04-03T15:51:21+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-Theuzs/Marvel_Boy #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1712159461506x289579871993248960
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
"# LoRA DreamBooth - squaadinc/1712159461506x289579871993248960\nThese are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer. \nThe weights were trained on the concept prompt: \n \nUse this keyword to trigger your custom model in your prompts. \nLoRA for the te... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0uncle0/uncle22 | 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 | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/stable_boy_x2 | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0son0/ml_2 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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-en
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the P... | {"tags": ["generated_from_trainer"], "datasets": ["PolyAI/minds14"], "metrics": ["wer"], "base_model": "openai/whisper-tiny", "model-index": [{"name": "whisper-tiny-en", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "PolyAI/minds14", "type": "... | aliciayrvn/whisper-tiny-en | null | [
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| whisper-tiny-en
===============
This model is a fine-tuned version of openai/whisper-tiny on the PolyAI/minds14 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6870
* Wer Ortho: 0.3209
* Wer: 0.3107
Model description
-----------------
More information needed
Intended uses & limitat... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: constant\\_with\\_warmup\n* lr\\_schedule... | [
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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. -->
# lilt-en-funsd
This model is a fine-tuned version of [SCUT-DLVCLab/lilt-roberta-en-base](https://huggingface.co/SCUT-DLVCLab/lilt... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "SCUT-DLVCLab/lilt-roberta-en-base", "model-index": [{"name": "lilt-en-funsd", "results": []}]} | ssakha/lilt-en-funsd | null | [
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| lilt-en-funsd
=============
This model is a fine-tuned version of SCUT-DLVCLab/lilt-roberta-en-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4190
* Answer: {'precision': 0.8649592549476135, 'recall': 0.9094247246022031, 'f1': 0.886634844868735, 'number': 817}
* Heade... | [
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text-generation | transformers | <div align="center">
<h1>
Chinese-Mistral
</h1>
</div>
## 🎉 新闻
- [2024-04-04] 发布Chinese-Mistral指令精调模型。
- [2024-03-31] 发布Chinese-Mistral基座模型。
## 🚀 介绍
随着Mistral AI公司开源其七十亿参数模型[Mistral-7B](https://huggingface.co/meta-llama/Llama-2-7b-hf)，该模型超越[Llama](https://huggingface.co/meta-llama)，成为当前最强大的开源模型之一。... | {} | itpossible/Chinese-Mistral-7B-Instruct-v0.1 | null | [
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"mistral",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-03T15:56:59+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
Chinese-Mistral
=================
新闻
--
* [2024-04-04] 发布Chinese-Mistral指令精调模型。
* [2024-03-31] 发布Chinese-Mistral基座模型。
介绍
--
随着Mistral AI公司开源其七十亿参数模型Mistral-7B，该模型超越Llama，成为当前最强大的开源模型之一。Mistral-7B在各类基准测试中，不仅超过了Llama2-13B，而且在推理、数学、代码生成任务中超过Llama2-34B。
然而，Mistral-7B的训练语料主要为英文文本，其中文能力较为欠缺。其次，Mistral-7B的词表不支持中文，... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "cartrepo", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"type": "mean... | xKizzi/cartrepo | null | [
"CartPole-v1",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-03T16:01:19+00:00 | [] | [] | TAGS
#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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"TAGS\n#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n# Reinforce Agent playing CartPole-v1\n This is a trained model of a Reinforce agent playing CartPole-v1 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Lear... |
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. -->
# CBertbase-mlm-APPS10k
This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codeb... | {"tags": ["generated_from_trainer"], "base_model": "microsoft/codebert-base-mlm", "model-index": [{"name": "CBertbase-mlm-APPS10k", "results": []}]} | AdnanRiaz107/CBertbase-mlm-APPS10k | null | [
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"text-generation",
"generated_from_trainer",
"base_model:microsoft/codebert-base-mlm",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T16:02:50+00:00 | [] | [] | TAGS
#transformers #safetensors #roberta #text-generation #generated_from_trainer #base_model-microsoft/codebert-base-mlm #autotrain_compatible #endpoints_compatible #region-us
| CBertbase-mlm-APPS10k
=====================
This model is a fine-tuned version of microsoft/codebert-base-mlm on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0911
Model description
-----------------
More information needed
Intended uses & limitations
-----------------... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/pharaouk/Eurus-7b-sft
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. F... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["reasoning"], "datasets": ["openbmb/UltraInteract", "stingning/ultrachat", "openchat/openchat_sharegpt4_dataset", "Open-Orca/OpenOrca"], "base_model": "pharaouk/Eurus-7b-sft", "quantized_by": "mradermacher"} | mradermacher/Eurus-7b-sft-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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text-generation | transformers |
# GPT-2 HxH
### Model Description
Hunter x Hunter" is a manga and anime series created by Yoshihiro Togashi, which has millions of fans. Known for its adventure, fantastical elements, and complex character development, this series offers a deep w... | {"license": "mit", "pipeline_tag": "text-generation"} | anezatra/gpt2-HxH | null | [
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|
# GPT-2 HxH
!examples
### Model Description
Hunter x Hunter" is a manga and anime series created by Yoshihiro Togashi, which has millions of fans. Known for its adventure, fantastical elements, and complex character development, this series offers a deep world and a rich story. Large-scale language models like GPT-2... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Llama 2
Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 7B pretrained model, converted for the Hugging Face Tra... | {"library_name": "transformers", "tags": []} | ManiPolipogu/codellama2-finetuned-codex-fin | null | [
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|
# Model Card for Model ID
## Llama 2
Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 7B pretrained model, converted for the Hugging Face Transformers format. Links to other models can be found in the... | [
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null | null | This is my first try at merging. It's supposed to be good for RP because I merged two models I personally liked. Feedback is welcome.
This is the Q5_K_M and Q6_K version of https://huggingface.co/WesPro/NeuralKuno-7B-slerp if someone needs other versions just let me know. | {} | WesPro/NeuralKuno-7B-slerp-GGUF | null | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/elyza-ELYZA-japanese-Llama-2-7b-instruct-bnb-4bit-smashed | null | [
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<div style="width: auto; margin-left: auto; margin-right: auto">
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![Twitter](URL
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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. -->
# donut-base-graph-json
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/do... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut-base-graph-json", "results": []}]} | MozerA/donut-base-graph-json | null | [
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|
# donut-base-graph-json
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training h... | [
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null | 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. -->
# public-finance-llama2
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Ll... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator", "clement-cvll/us-federal-reserve-qa"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "public-finance-llama2", "results": []}]} | clement-cvll/public-finance-llama2 | null | [
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| public-finance-llama2
=====================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6030
Model description
-----------------
More information needed
Intended uses & limitations
------------... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-v0.1"} | rohan2010/rohan-photoshopm1 | null | [
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- Funded by [optional]:
- Shared by [optional]:
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- License:
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### Model Sources [optional]
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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. -->
# dpo-selective-buffer-safeipo
This model was trained from scratch on the None dataset.
It achieves the following results on the e... | {"tags": ["trl", "dpo", "generated_from_trainer"], "model-index": [{"name": "dpo-selective-buffer-safeipo", "results": []}]} | wxzhang/dpo-selective-buffer-safeipo | null | [
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#transformers #safetensors #mistral #text-generation #trl #dpo #generated_from_trainer #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| dpo-selective-buffer-safeipo
============================
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 17200.3730
* Rewards/chosen: -0.9463
* Rewards/rejected: -1.0095
* Rewards/accuracies: 0.6067
* Rewards/margins: 0.0632
* Rewards/safe R... | [
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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... | alekom/LunarLander-v2 | null | [
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"ppo",
"deep-reinforcement-learning",
"reinforcement-learning",
"custom-implementation",
"deep-rl-course",
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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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] |
text-generation | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# turkishReviews-ds-mini
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves th... | {"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "gpt2", "model-index": [{"name": "turkishReviews-ds-mini", "results": []}]} | eneskadumi/turkishReviews-ds-mini | null | [
"transformers",
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"gpt2",
"text-generation",
"generated_from_keras_callback",
"base_model:gpt2",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-03T16:24:05+00:00 | [] | [] | TAGS
#transformers #tf #gpt2 #text-generation #generated_from_keras_callback #base_model-gpt2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| turkishReviews-ds-mini
======================
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 10.3025
* Validation Loss: 9.9995
* Epoch: 0
Model description
-----------------
More information needed
Intended uses & limita... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': {'module': 'transformers.optimization\\_tf', 'class\\_name': 'WarmUp', 'config': {'initial\\_learning\\_rate': 5e-05, 'decay\\_schedule\\_fn': {'module': 'kera... | [
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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 [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown da... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/flan-t5-base", "model-index": [{"name": "results", "results": []}]} | steve1989/results | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:google/flan-t5-base",
"license:apache-2.0",
"region:us"
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-google/flan-t5-base #license-apache-2.0 #region-us
| results
=======
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1549
* Rouge1: 0.0992
* Rouge2: 0.0185
* Rougel: 0.0769
* Rougelsum: 0.0898
Model description
-----------------
More information needed
Intended u... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
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text-to-image | diffusers |
# Lucy in the Sky Dream Prom LoRA
## Model description
LoRA trained on the [Lucy in the Sky](https://www.lucyinthesky.com/shop) dreamy prom campaign. Try the [demo](https://huggingface.co/spaces/Luc... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "lucy dream style", "widg... | LucyintheSky/lucy-dream-lora | null | [
"diffusers",
"tensorboard",
"text-to-image",
"diffusers-training",
"lora",
"template:sd-lora",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"has_space",
"region:us"
] | null | 2024-04-03T16:26:39+00:00 | [] | [] | TAGS
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|
# Lucy in the Sky Dream Prom LoRA
!image/png
## Model description
LoRA trained on the Lucy in the Sky dreamy prom campaign. Try the demo.
## Trigger words
You should use lucy dream style to trigger the image generation.
## Training details
These are LucyintheSky/lucy-dream-lora LoRA adaption weights for stabilitya... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama_2_gen
This model is a fine-tuned version of [unsloth/llama-2-7b-bnb-4bit](https://huggingface.co/unsloth/llama-2-7b-bnb-4b... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "unsloth", "generated_from_trainer"], "base_model": "unsloth/llama-2-7b-bnb-4bit", "model-index": [{"name": "llama_2_gen", "results": []}]} | olesya2096/llama_2_gen | null | [
"peft",
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"trl",
"sft",
"unsloth",
"generated_from_trainer",
"base_model:unsloth/llama-2-7b-bnb-4bit",
"license:apache-2.0",
"region:us"
] | null | 2024-04-03T16:26:55+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #unsloth #generated_from_trainer #base_model-unsloth/llama-2-7b-bnb-4bit #license-apache-2.0 #region-us
|
# llama_2_gen
This model is a fine-tuned version of unsloth/llama-2-7b-bnb-4bit on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/stable_boy_x3 | null | [
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|
# Model Card for Model ID
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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token-classification | spacy | | Feature | Description |
| --- | --- |
| **Name** | `en_degree_ner` |
| **Version** | `0.2.0` |
| **spaCy** | `>=3.6.1,<3.7.0` |
| **Default Pipeline** | `tok2vec`, `ner` |
| **Components** | `tok2vec`, `ner` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | n/a |
| **License** | n/a |
| **Au... | {"language": ["en"], "tags": ["spacy", "token-classification"]} | philipp-zettl/en_degree_ner | null | [
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|
### Label Scheme
View label scheme (1 labels for 1 components)
### Accuracy
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ViTuned_buildings
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-ba... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "ViTuned_buildings", "results": []}]} | Alphonsce/ViTuned_buildings | null | [
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| ViTuned\_buildings
==================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0432
* Accuracy: 0.9931
Model description
-----------------
More information needed
Intended uses & limitation... | [
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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": []} | naksidil/turkishReviews-ds-mini | null | [
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# Model Card for Model ID
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### Model Description
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text-classification | setfit |
# SetFit with sentence-transformers/paraphrase-MiniLM-L3-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-MiniLM-L3-v2](https://huggingface.co/sentence-transformers/paraphrase-MiniLM-L3-v2) as the Sent... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "widget": [{"text": "Tiong Bahru Plaza, DDC-L2-5, AHU-L2-03 trip alarm"}, {"text": "Tiong Bahru Plaza, DDC L4-1, PAU-L4-03 supply air temperature (Units: \u00b0C).2"},... | Varun1010/all-MiniLM-L6-v2-polaris-new-distilled | null | [
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| SetFit with sentence-transformers/paraphrase-MiniLM-L3-v2
=========================================================
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token-classification | transformers |
# ACCORD-NLP
ACCORD-NLP is a Natural Language Processing (NLP) framework developed by the [ACCORD](https://accordproject.eu/) project to facilitate Automated Compliance Checking (ACC) within the Architecture, Engineering, and Construction (AEC) sector.
It consists of several pre-trained/fine-tuned machine learning mo... | {"language": ["en"], "license": "apache-2.0", "datasets": ["ACCORD-NLP/CODE-ACCORD-Entities"]} | ACCORD-NLP/ner-roberta-large-lm | null | [
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# ACCORD-NLP
ACCORD-NLP is a Natural Language Processing (NLP) framework developed by the ACCORD project to facilitate Automated Compliance Checking (ACC) within the Architecture, Engineering, and Construction (AEC) sector.
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null | peft | This was trained on the updated version of the previous dataset, and it appears to have improved it a little bit. Further training seems to reduce accuracy of the model.
Dataset used is [a modified](https://huggingface.co/datasets/mpasila/ParallelFiction-Ja_En-100k-alpaca) version of [NilanE/ParallelFiction-Ja_En-100k... | {"language": ["en"], "license": "apache-2.0", "library_name": "peft", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "datasets": ["NilanE/ParallelFiction-Ja_En-100k", "mpasila/ParallelFiction-Ja_En-100k-alpaca"], "base_model": "augmxnt/shisa-base-7b-v1"} | mpasila/JP-EN-Translator-1K-Steps-V2-LoRA-7B | null | [
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| This was trained on the updated version of the previous dataset, and it appears to have improved it a little bit. Further training seems to reduce accuracy of the model.
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### Prompt format: Alpaca
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text-generation | transformers |
# seldonium-3b
Seldonium-3b is a model that combines two existing models, rhysjones/phi-2-orange and cognitivecomputations/dolphin-2_6-phi-2. This fusion is made possible through a Colab called "LazyMergekit", which uses the Mergekit library to mix large language models (LLM). The fusion method employed in this case ... | {"tags": ["merge", "mergekit", "lazymergekit", "rhysjones/phi-2-orange", "cognitivecomputations/dolphin-2_6-phi-2"], "base_model": ["rhysjones/phi-2-orange", "cognitivecomputations/dolphin-2_6-phi-2"]} | jomangbp/seldonium-3b | null | [
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|
# seldonium-3b
Seldonium-3b is a model that combines two existing models, rhysjones/phi-2-orange and cognitivecomputations/dolphin-2_6-phi-2. This fusion is made possible through a Colab called "LazyMergekit", which uses the Mergekit library to mix large language models (LLM). The fusion method employed in this case ... | [
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | # IceLemonTeaRP-32k-7b-8.0bpw-h6-exl2
8.0bpw-h6-exl2 quant of [icefog72/IceLemonTeaRP-32k-7b](https://huggingface.co/icefog72/IceLemonTeaRP-32k-7b)
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Kunokukulemo... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge", "alpaca", "mistral", "not-for-all-audiences", "nsfw"], "base_model": ["icefog72/Kunokukulemonchini-32k-7b", "icefog72/Mixtral_AI_Cyber_3.m1-BigL", "LeroyDyer/Mixtral_AI_Cyber_3.m1", "Undi95/BigL-7B"]} | icefog72/IceLemonTeaRP-32k-7b-8.0bpw-h6-exl2 | null | [
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8.0bpw-h6-exl2 quant of icefog72/IceLemonTeaRP-32k-7b
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | ss93/llama-2-7b-chat-waft | null | [
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null | transformers |
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null | transformers |
# Uploaded model
- **Developed by:** hvadaparty
- **License:** apache-2.0
- **Finetuned from model :** HuggingFaceH4/zephyr-7b-beta
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "HuggingFaceH4/zephyr-7b-beta"} | hvadaparty/Featherlite-Beta-v0.2 | null | [
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# Uploaded model
- Developed by: hvadaparty
- License: apache-2.0
- Finetuned from model : HuggingFaceH4/zephyr-7b-beta
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/MysticFoxMagic/HeatherSpell-7b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned fo... | {"language": ["en"], "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "yam-peleg/Experiment26-7B", "Kukedlc/NeuralExperiment-7b-MagicCoder-v7.5"], "base_model": "MysticFoxMagic/HeatherSpell-7b", "quantized_by": "mradermacher"} | mradermacher/HeatherSpell-7b-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers |
<p align="center">
<img src="https://huggingface.co/speakleash/Bielik-7B-Instruct-v0.1/raw/main/speakleash_cyfronet.png">
</p>
# Bielik-7B-Instruct-v0.1-EXL2 (5-bit)
This repo contains EXL2 (5-bit) format model files for [SpeakLeash](https://speakleash.org/)'s [Bielik-7B-Instruct-v0.1](https://huggingface.co/speak... | {"language": ["pl"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["finetuned", "exl2"], "inference": false} | speakleash/Bielik-7B-Instruct-v0.1-EXL2 | null | [
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|
<p align="center">
<img src="URL
</p>
# Bielik-7B-Instruct-v0.1-EXL2 (5-bit)
This repo contains EXL2 (5-bit) format model files for SpeakLeash's Bielik-7B-Instruct-v0.1.
<b><u>DISCLAIMER: Be aware that quantised models show reduced response quality and possible hallucinations!</u></b><br>
Simple Colab notebook f... | [
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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": []} | lunarsylph/stablecell_v40 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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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. -->
# phi-1_5-finetuned-aqua-rat-teacher-AM-1k
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/micros... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-aqua-rat-teacher-AM-1k", "results": []}]} | rk68/phi-1_5-finetuned-aqua-rat-teacher-AM-1k | null | [
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|
# phi-1_5-finetuned-aqua-rat-teacher-AM-1k
This model is a fine-tuned version of microsoft/phi-1_5 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... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** hvadaparty
- **License:** apache-2.0
- **Finetuned from model :** HuggingFaceH4/zephyr-7b-beta
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "HuggingFaceH4/zephyr-7b-beta"} | hvadaparty/Featherlite-Beta-v0.2-16bit | null | [
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# Uploaded model
- Developed by: hvadaparty
- License: apache-2.0
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<img src="URL width="200"/>
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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": []} | Jacaranda/afro_tokenizer_large | null | [
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|
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## 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-classification | setfit |
# SetFit with sentence-transformers/paraphrase-mpnet-base-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2) as the S... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "widget": [{"text": "Hi Jonathan, I hope you're having safe travels along your way. I'm reaching out to you because you are a valued employee, and we appreciate your h... | gmenchetti/paraphrase-mpnet-base-v2-empathy | null | [
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| SetFit with sentence-transformers/paraphrase-mpnet-base-v2
==========================================================
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null | null |
# Model Card: Meta CodeLlama-7b-Python gguf
Origin Meta model [CodeLlama-7b-Python](https://llama.meta.com/llama-downloads/), [code llama large language model coding](https://ai.meta.com/blog/code-llama-large-language-model-coding/), [codellama](https://github.com/meta-llama/codellama) converted into gguf format wit... | {"language": ["code"], "license": "llama2", "tags": ["LLM", "llama2", "llama-2", "CodeLlama", "CodeLlama-Python", "CodeLlama-7B-Python", "lama.cpp", "Python", "7B"], "model_name": "CodeLlama-7b-Python GGUF", "base_model": "meta-llama/CodeLlama-7b-Python-hf", "model_type": "llama"} | ego-hf/CodeLlama-7b-Python | null | [
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|
# Model Card: Meta CodeLlama-7b-Python gguf
Origin Meta model CodeLlama-7b-Python, code llama large language model coding, codellama converted into gguf format with URL
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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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": []} | WillHeld/via-base | null | [
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# Model Card for Model ID
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### Model Description
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-finetuned-imdb
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-finetuned-imdb", "results": []}]} | prateekag159/distilbert-finetuned-imdb | null | [
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|
# distilbert-finetuned-imdb
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hype... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - HiImKing1509/sdxl-animev2-lora-YumekoYumekoYumeko-20imgs
<Gallery />
## Model description
Thes... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "Linaqruf/animagine-xl-2.0", "instance_prompt": "a YumekoYumekoYumeko woman", "widget": ... | HiImKing1509/sdxl-animev2-lora-YumekoYumekoYumeko-20imgs | null | [
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|
# SDXL LoRA DreamBooth - HiImKing1509/sdxl-animev2-lora-YumekoYumekoYumeko-20imgs
<Gallery />
## Model description
These are HiImKing1509/sdxl-animev2-lora-YumekoYumekoYumeko-20imgs LoRA adaption weights for Linaqruf/animagine-xl-2.0.
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feature-extraction | 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": []} | pcuenq/tiny-gemma | 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-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. -->
# bge-small-en-v1.5-sms-spam
This model is a fine-tuned version of [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "BAAI/bge-small-en-v1.5", "model-index": [{"name": "bge-small-en-v1.5-sms-spam", "results": []}]} | Hommes/bge-small-en-v1.5-sms-spam | null | [
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| bge-small-en-v1.5-sms-spam
==========================
This model is a fine-tuned version of BAAI/bge-small-en-v1.5 on an unknown dataset.
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* Loss: 0.0328
* Accuracy: 0.9928
* Precision: 0.9928
* Recall: 0.9928
* F1: 0.9928
Model description
-----------------... | [
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unconditional-image-generation | diffusers | ## Cu~~rsed~~te kitty cats Model Card
DDPMCats is a latent noise-to-image diffusion model capable of generating images of cats. For more information about how Stable Diffusion functions, please have a look at 🤗's [Stable Diffusion blog](https://huggingface.co/blog/stable_diffusion).
You can use this with the 🧨Diffu... | {"license": "mit", "library_name": "diffusers", "tags": ["diffusion"], "metrics": ["mse"], "pipeline_tag": "unconditional-image-generation"} | nroggendorff/cats | null | [
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| ## Cu~~rsed~~te kitty cats Model Card
DDPMCats is a latent noise-to-image diffusion model capable of generating images of cats. For more information about how Stable Diffusion functions, please have a look at 's Stable Diffusion blog.
You can use this with the Diffusers library from Hugging Face.
!So cute, right?
#... | [
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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. -->
# phi-1_5-finetuned-aqua-rat-teacher-AM-2k
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/micros... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-aqua-rat-teacher-AM-2k", "results": []}]} | rk68/phi-1_5-finetuned-aqua-rat-teacher-AM-2k | null | [
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|
# phi-1_5-finetuned-aqua-rat-teacher-AM-2k
This model is a fine-tuned version of microsoft/phi-1_5 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... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0uncle0/uncle23 | null | [
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text-classification | setfit |
# SetFit with sentence-transformers/paraphrase-mpnet-base-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2) as the S... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "widget": [{"text": "She is Female, her heart rate is 89, she walks 3873 steps daily and is Overweight. She slept at 2 hrs. Yesterday, she slept from 4.0 hrs to 6.0 hr... | naushin/few-shot-stress-detection-1 | null | [
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"2209.11055"
] | [] | TAGS
#setfit #safetensors #mpnet #sentence-transformers #text-classification #generated_from_setfit_trainer #arxiv-2209.11055 #base_model-sentence-transformers/paraphrase-mpnet-base-v2 #model-index #region-us
| SetFit with sentence-transformers/paraphrase-mpnet-base-v2
==========================================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/paraphrase-mpnet-base-v2 as the Sentence Transformer embedding model. A LogisticRegression... | [
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: sentence-transformers/paraphrase-mpnet-base-v2\n* Classification head: a LogisticRegression instance\n* Maximum Sequence Length: 512 tokens\n* Number of Classes: 3 classes",
"### Model Sources\n\n\n* Repository: SetFit on GitHub\n* Pap... | [
"TAGS\n#setfit #safetensors #mpnet #sentence-transformers #text-classification #generated_from_setfit_trainer #arxiv-2209.11055 #base_model-sentence-transformers/paraphrase-mpnet-base-v2 #model-index #region-us \n",
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: sentence-transforme... | [
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"TAGS\n#setfit #safetensors #mpnet #sentence-transformers #text-classification #generated_from_setfit_trainer #arxiv-2209.11055 #base_model-sentence-transformers/paraphrase-mpnet-base-v2 #model-index #region-us \n### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: sentence-transformers/par... |
text-generation | transformers | # IceLemonTeaRP-32k-7b-6.5bpw-h6-exl2
6.5bpw-h6-exl2 quant of [icefog72/IceLemonTeaRP-32k-7b](https://huggingface.co/icefog72/IceLemonTeaRP-32k-7b)
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Kunokukulemo... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge", "alpaca", "mistral", "not-for-all-audiences", "nsfw"], "base_model": ["icefog72/Kunokukulemonchini-32k-7b", "icefog72/Mixtral_AI_Cyber_3.m1-BigL", "LeroyDyer/Mixtral_AI_Cyber_3.m1", "Undi95/BigL-7B"]} | icefog72/IceLemonTeaRP-32k-7b-6.5bpw-h6-exl2 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"alpaca",
"not-for-all-audiences",
"nsfw",
"base_model:icefog72/Kunokukulemonchini-32k-7b",
"base_model:icefog72/Mixtral_AI_Cyber_3.m1-BigL",
"base_model:LeroyDyer/Mixtral_AI_Cyber_3.m1",
"base_model:Undi95/Big... | null | 2024-04-03T17:06:14+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #alpaca #not-for-all-audiences #nsfw #base_model-icefog72/Kunokukulemonchini-32k-7b #base_model-icefog72/Mixtral_AI_Cyber_3.m1-BigL #base_model-LeroyDyer/Mixtral_AI_Cyber_3.m1 #base_model-Undi95/BigL-7B #license-cc-by-nc-4.0 #autotrain_compatibl... | # IceLemonTeaRP-32k-7b-6.5bpw-h6-exl2
6.5bpw-h6-exl2 quant of icefog72/IceLemonTeaRP-32k-7b
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Kunokukulemonchini-32k-7b
* Mixtral_AI_Cyber_3.m1-BigL
### Configur... | [
"# IceLemonTeaRP-32k-7b-6.5bpw-h6-exl2\n\n6.5bpw-h6-exl2 quant of icefog72/IceLemonTeaRP-32k-7b",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* Kunokukulemonchini-32k-7b\n* Mixtral_AI_Cyb... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #alpaca #not-for-all-audiences #nsfw #base_model-icefog72/Kunokukulemonchini-32k-7b #base_model-icefog72/Mixtral_AI_Cyber_3.m1-BigL #base_model-LeroyDyer/Mixtral_AI_Cyber_3.m1 #base_model-Undi95/BigL-7B #license-cc-by-nc-4.0 #autotrain_com... | [
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"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #alpaca #not-for-all-audiences #nsfw #base_model-icefog72/Kunokukulemonchini-32k-7b #base_model-icefog72/Mixtral_AI_Cyber_3.m1-BigL #base_model-LeroyDyer/Mixtral_AI_Cyber_3.m1 #base_model-Undi95/BigL-7B #license-cc-by-nc-4.0 #autotrain_com... |
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