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sentence-similarity | sentence-transformers |
# mteb-pt/average_pt_nilc_wang2vec_skip_s600
This is an adaptation of pre-trained Portuguese Wang2Vec Word Embeddings to a [sentence-transformers](https://www.SBERT.net) model.
The original pre-trained word embeddings can be found at: [http://nilc.icmc.usp.br/nilc/index.php/repositorio-de-word-embeddings-do-nilc](... | {"language": ["pt"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | pt-mteb/average_pt_nilc_wang2vec_skip_s600 | null | [
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"pt",
"endpoints_compatible",
"region:us"
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"pt"
] | TAGS
#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us
|
# mteb-pt/average_pt_nilc_wang2vec_skip_s600
This is an adaptation of pre-trained Portuguese Wang2Vec Word Embeddings to a sentence-transformers model.
The original pre-trained word embeddings can be found at: URL
This model maps sentences & paragraphs to a 600 dimensional dense vector space and can be used for... | [
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feature-extraction | 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. -->
# finetuned_bge_ver17
This model is a fine-tuned version of [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "BAAI/bge-m3", "model-index": [{"name": "finetuned_bge_ver17", "results": []}]} | comet24082002/finetuned_bge_ver17 | null | [
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"license:mit",
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|
# finetuned_bge_ver17
This model is a fine-tuned version of BAAI/bge-m3 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The f... | [
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reinforcement-learning | stable-baselines3 |
# **Proximal Policy Optimization** Agent playing **LunarLander-v2**
This is a trained model of a **Proximal Policy Optimization** 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 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "Proximal Policy Optimization", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLa... | MohamedAtta-AI/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
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"reinforcement-learning",
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] | null | 2024-04-17T17:41:42+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# Proximal Policy Optimization Agent playing LunarLander-v2
This is a trained model of a Proximal Policy Optimization agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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sentence-similarity | sentence-transformers |
# phoenixSP/embedding-finetuned-model-v1
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using thi... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | phoenixSP/embedding-finetuned-model-v1 | null | [
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"bert",
"feature-extraction",
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"endpoints_compatible",
"region:us"
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#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #endpoints_compatible #region-us
|
# phoenixSP/embedding-finetuned-model-v1
This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers in... | [
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sentence-similarity | sentence-transformers |
# mteb-pt/average_pt_nilc_word2vec_skip_s600
This is an adaptation of pre-trained Portuguese Word2Vec Word Embeddings to a [sentence-transformers](https://www.SBERT.net) model.
The original pre-trained word embeddings can be found at: [http://nilc.icmc.usp.br/nilc/index.php/repositorio-de-word-embeddings-do-nilc](... | {"language": ["pt"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | pt-mteb/average_pt_nilc_word2vec_skip_s600 | null | [
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"endpoints_compatible",
"region:us"
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#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us
|
# mteb-pt/average_pt_nilc_word2vec_skip_s600
This is an adaptation of pre-trained Portuguese Word2Vec Word Embeddings to a sentence-transformers model.
The original pre-trained word embeddings can be found at: URL
This model maps sentences & paragraphs to a 600 dimensional dense vector space and can be used for... | [
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text-generation | transformers | # nbeerbower/MaidFlameSoup-7B AWQ
- Model creator: [nbeerbower](https://huggingface.co/nbeerbower)
- Original model: [MaidFlameSoup-7B](https://huggingface.co/nbeerbower/MaidFlameSoup-7B)
## Model Summary
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## ... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge", "finetuned", "quantized", "4-bit", "AWQ", "transformers", "pytorch", "mistral", "text-generation"], "base_model": ["nbeerbower/flammen13-mistral-7B", "nbeerbower/Flammen-Kunoichi-7B", "nbeerbower/flammen10-mistral-7B", "nbeerbower/f... | solidrust/MaidFlameSoup-7B-AWQ | null | [
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- Model creator: nbeerbower
- Original model: MaidFlameSoup-7B
## Model Summary
This is a merge of pre-trained language models created using mergekit.
## How to use
### Install the necessary packages
### Example Python code
### About AWQ
AWQ is an efficient, accurate and bl... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/icefog72/WizardIceLemonTeaRP-32k
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not... | {"language": ["en"], "library_name": "transformers", "base_model": "icefog72/WizardIceLemonTeaRP-32k", "quantized_by": "mradermacher"} | mradermacher/WizardIceLemonTeaRP-32k-GGUF | null | [
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] | TAGS
#transformers #gguf #en #base_model-icefog72/WizardIceLemonTeaRP-32k #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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image-classification | transformers |
# 10fishmodel
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb).
Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingp... | {"tags": ["image-classification", "pytorch", "huggingpics"], "metrics": ["accuracy"]} | NeroZ02/10fishmodel | null | [
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"safetensors",
"vit",
"image-classification",
"pytorch",
"huggingpics",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T17:45:58+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vit #image-classification #pytorch #huggingpics #model-index #autotrain_compatible #endpoints_compatible #region-us
|
# 10fishmodel
Autogenerated by HuggingPics️
Create your own image classifier for anything by running the demo on Google Colab.
Report any issues with the demo at the github repo.
## Example Images
#### Anglerfish
!Anglerfish
#### Arapaima Gigas
!Arapaima Gigas
#### Catfish
!Catfish
#### Crocodiles
!Croc... | [
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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. -->
# multilingual-e5-large-guardrail-toxicity-classifier-training_templated
This model is a fine-tuned version of [intfloat/multiling... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "intfloat/multilingual-e5-large", "model-index": [{"name": "multilingual-e5-large-guardrail-toxicity-classifier-training_templated", "results": []}]} | tosh97/multilingual-e5-large-guardrail-toxicity-classifier-training_templated | null | [
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"xlm-roberta",
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"generated_from_trainer",
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|
# multilingual-e5-large-guardrail-toxicity-classifier-training_templated
This model is a fine-tuned version of intfloat/multilingual-e5-large on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informat... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/allenai/tulu-2-dpo-70b
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/tulu-2-dpo-70b-i1-... | {"language": ["en"], "license": "other", "library_name": "transformers", "datasets": ["HuggingFaceH4/ultrafeedback_binarized", "allenai/tulu-v2-sft-mixture"], "base_model": "allenai/tulu-2-dpo-70b", "license_link": "https://allenai.org/impact-license", "license_name": "ai2-impact-license-low-risk", "quantized_by": "mra... | mradermacher/tulu-2-dpo-70b-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Usaid/ContextClassy-Merged-V1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sh... | {"language": ["en"], "library_name": "transformers", "tags": [], "base_model": "Usaid/ContextClassy-Merged-V1", "quantized_by": "mradermacher"} | mradermacher/ContextClassy-Merged-V1-GGUF | null | [
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"base_model:Usaid/ContextClassy-Merged-V1",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T17:51:32+00:00 | [] | [
"en"
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#transformers #gguf #en #base_model-Usaid/ContextClassy-Merged-V1 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text2text-generation | transformers |
# FLAN-T5 Base Text to SQL Model
This model was fine-tuned on [Google's FLAN-T5 base](https://huggingface.co/google/flan-t5-base) using [SParC](https://yale-lily.github.io/sparc), [Spider](https://yale-lily.github.io/spider), and [CoSQL](https://yale-lily.github.io/cosql) datasets.
Purpose of this model is to create... | {"library_name": "transformers"} | alpecevit/flan-t5-base-text2sql | null | [
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"region:us"
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#transformers #safetensors #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# FLAN-T5 Base Text to SQL Model
This model was fine-tuned on Google's FLAN-T5 base using SParC, Spider, and CoSQL datasets.
Purpose of this model is to create SQL queries from natural-language text.
In order to achieve accuracte results, database schema was incorporated to the prompt during training.
GitHub repos... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# imdb-spoiler-distilbertOrigDatasetLR3
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/dis... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "recall", "precision", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "imdb-spoiler-distilbertOrigDatasetLR3", "results": []}]} | Zritze/imdb-spoiler-distilbertOrigDatasetLR3 | null | [
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| imdb-spoiler-distilbertOrigDatasetLR3
=====================================
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5819
* Accuracy: 0.6863
* Recall: 0.787
* Precision: 0.6550
* F1: 0.7150
Model descripti... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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text-generation | transformers |
# Mamba
<!-- Provide a quick summary of what the model is/does. -->
This repository contains the `transfromers` compatible `mamba-2.8b`. The checkpoints are untouched, but the full `config.json` and tokenizer are pushed to this repo.
# Usage
You need to install `transformers` from `main` until `transformers=4.39.0... | {"language": ["en"], "license": "mit"} | voidful/mamba-790m-chat | null | [
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|
# Mamba
This repository contains the 'transfromers' compatible 'mamba-2.8b'. The checkpoints are untouched, but the full 'URL' and tokenizer are pushed to this repo.
# Usage
You need to install 'transformers' from 'main' until 'transformers=4.39.0' is released.
We also recommend you to install both 'causal_con... | [
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sentence-similarity | sentence-transformers |
# phoenixSP/embedding-finetuned-model-v2
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 thi... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | phoenixSP/embedding-finetuned-model-v2 | null | [
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#sentence-transformers #safetensors #mpnet #feature-extraction #sentence-similarity #endpoints_compatible #region-us
|
# phoenixSP/embedding-finetuned-model-v2
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 in... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-journal-finetune-aipi
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral-journal-finetune-aipi", "results": []}]} | wintercoming6/mistral-journal-finetune-aipi | null | [
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| mistral-journal-finetune-aipi
=============================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.7849
Model description
-----------------
More information needed
Intended uses & limitations
---... | [
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text-generation | transformers |
# Tess-2.0-Mixtral-8x22B
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Mixtral-8x22B was trained on the mistral-community/Mixtral-8x22B-v0.1 base.
# Prompt Format
``... | {"license": "apache-2.0"} | blockblockblock/Tess-2.0-Mixtral-8x22B-bpw4 | null | [
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|
!Tesoro
# Tess-2.0-Mixtral-8x22B
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Mixtral-8x22B was trained on the mistral-community/Mixtral-8x22B-v0.1 base.
# Prompt Format
# Training Methodology
Tess-2.0-Mixtral-8x22B was trained on the Tess-2.0 dataset. T... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [amazingvince/Not-WizardLM-2-7B](https://huggingface.co/amazingvince/Not-Wi... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["TFMC/Japanese-Starling-ChatV-7B", "amazingvince/Not-WizardLM-2-7B"]} | Exveria/merge003 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using amazingvince/Not-WizardLM-2-7B as a base.
### Models Merged
The following models were included in the merge:
* TFMC/Japanese-Starling-ChatV-7B
##... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | 123addy/chat-fine-tuned-llama2 | null | [
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#peft #region-us
| ## Training procedure
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- load_in_4bit: True
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- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | eeshanpatel/T5-Conditional-Generation | 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. -->
# Intent-classification-BERT-cased-Ashu
This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google-bert/bert-base-cased", "model-index": [{"name": "Intent-classification-BERT-cased-Ashu", "results": []}]} | Narkantak/Intent-classification-BERT-cased-Ashu | null | [
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| Intent-classification-BERT-cased-Ashu
=====================================
This model is a fine-tuned version of google-bert/bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1960
* Accuracy: 0.9321
Model description
-----------------
More information nee... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/mistral-35 | 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 Mixtral-8x22B-Instruct-v0.1-4bit
The Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts. The Mixtral-8x7B outperforms Llama 2 70B on most benchmarks we tested.
Model added by [Prince Canuma](https://twitter.com/Prince_Canuma).
For full details of this model p... | {"language": ["fr", "it", "de", "es", "en"], "license": "apache-2.0", "inference": {"parameters": {"temperature": 0.5}}, "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | prince-canuma/Mixtral-8x22B-Instruct-v0.1-4bit | null | [
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| # Model Card for Mixtral-8x22B-Instruct-v0.1-4bit
The Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts. The Mixtral-8x7B outperforms Llama 2 70B on most benchmarks we tested.
Model added by Prince Canuma.
For full details of this model please read our release blog post.
##... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/mistral-35-a | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | Enagamirzayev/whisper-small-llm-lingo-adapters_o | 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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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": []} | bogdanfloris/Mistral-7B-v0.1-4bit | 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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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small ZIB2
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on ... | {"language": ["de"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["rmacek/common_voice_zib2"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small ZIB2", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Rec... | rmacek/whisper-small-de | null | [
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| Whisper Small ZIB2
==================
This model is a fine-tuned version of openai/whisper-small on the ZIB2 Common Voice dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3366
* Wer: 28.9384
Model description
-----------------
More information needed
Intended uses & limitations
----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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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"]} | moczard/ppo-Huggy | null | [
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|
# 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
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- _load_in_8bit: False
- _load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quan... | {"library_name": "peft", "model-index": [{"name": "gembode-2b-base-ultraalpaca-qlora", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "ENEM Challenge (No Images)", "type": "eduagarcia/enem_challenge", "split": "train", "args": {"num_few_shot": 3}}, "metrics": [{"type": ... | recogna-nlp/gembode-2b-base-ultraalpaca-qlora | null | [
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#peft #model-index #has_space #region-us
| Training procedure
------------------
The following 'bitsandbytes' quantization config was used during training:
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* \_load\_in\_8bit: False
* \_load\_in\_4bit: True
* llm\_int8\_threshold: 6.0
* llm\_int8\_skip\_modules: None
* llm\_int8\_enable\_fp32\_cpu\_offload: False
* llm\_int8\_h... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- _load_in_8bit: False
- _load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quan... | {"library_name": "peft"} | recogna-nlp/qwenbode_1_8b_chat_ultraalpaca | null | [
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#peft #pytorch #qwen2 #has_space #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- quant_method: bitsandbytes
- _load_in_8bit: False
- _load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- _load_in_8bit: False
- _load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
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#peft #model-index #has_space #region-us
| Training procedure
------------------
The following 'bitsandbytes' quantization config was used during training:
* quant\_method: bitsandbytes
* \_load\_in\_8bit: False
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* llm\_int8\_h... | [
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automatic-speech-recognition | 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": []} | Enagamirzayev/whisper-small-llm-lingo_o | null | [
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|
# Model Card for Model ID
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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": []} | indiana500/gpt2-implicit-fine-tuned-classification | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# 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": []} | Julesb5/gemma-7b-it-med1 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text2text-generation | transformers |
<!-- 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. -->
# mbart-Math_problems
This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "facebook/mbart-large-50", "model-index": [{"name": "mbart-Math_problems", "results": []}]} | LuisCe/mbart-Math_problems | null | [
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| mbart-Math\_problems
====================
This model is a fine-tuned version of facebook/mbart-large-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9236
* Bleu: 28.8931
* Gen Len: 87.5959
Model description
-----------------
More information needed
Intended uses & ... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# model_hh_shp4_200
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_hh_shp4_200", "results": []}]} | guoyu-zhang/model_hh_shp4_200 | null | [
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| model\_hh\_shp4\_200
====================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4445
* Rewards/chosen: -0.1401
* Rewards/rejected: -1.3796
* Rewards/accuracies: 0.6300
* Rewards/margins: 1.2395
* ... | [
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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": []} | morioxd/happymakerai_v3 | 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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null | transformers |
# MeloTTS
MeloTTS is a **high-quality multi-lingual** text-to-speech library by [MyShell.ai](https://myshell.ai). Supported languages include:
| Model card | Example |
| --- | --- |
| [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (American) | [Link](https://myshell-public-repo-hosting.s3.amazon... | {"license": "mit"} | myshell-ai/MeloTTS-English-v3 | null | [
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| MeloTTS
=======
MeloTTS is a high-quality multi-lingual text-to-speech library by URL. Supported languages include:
Some other features include:
* The Chinese speaker supports 'mixed Chinese and English'.
* Fast enough for 'CPU real-time inference'.
Usage
-----
### Without Installation
An unofficial live d... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | elyadenysova/falcon-7b-sileod_2 | null | [
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# Model Card for Model ID
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | ikerm11/FTLLAMA222 | null | [
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# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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null | adapter-transformers |
# Adapter `ltuzova/classification_tapt_unipelt_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness/) dataset and includes a prediction head for classification.
Th... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_helpfulness"]} | ltuzova/classification_tapt_unipelt_adapter | null | [
"adapter-transformers",
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness #region-us
|
# Adapter 'ltuzova/classification_tapt_unipelt_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, install 'ada... | [
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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": []} | Aviral2412/fineturning3 | 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": []} | batprem/typhoon-med | 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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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": []} | eeshanpatel/Bart-finetuned-QA | 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 |
# albertmartinez/bert-sdg-classification
This model (BERT) is for classifying text with respect to the United Nations sustainable development goals (SDG).
## Training Hyperparameters
- Num_epoch = 10
- Learning rate = 5e-5
- Batch size = 16
### Training results
| epoch | eval_loss | eval_accuracy | ... | {"license": "mit", "datasets": ["albertmartinez/OSDG"], "metrics": ["accuracy", "precision", "recall", "f1"], "pipeline_tag": "text-classification", "widget": [{"text": "Between the Social and the Spatial - Exploring Multiple Dimensions of Poverty and Social Exclusion, Ashgate. Poverty in Europe and the USA, Exchanging... | albertmartinez/bert-sdg-classification | null | [
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| albertmartinez/bert-sdg-classification
======================================
This model (BERT) is for classifying text with respect to the United Nations sustainable development goals (SDG).
Training Hyperparameters
------------------------
* Num\_epoch = 10
* Learning rate = 5e-5
* Batch size = 16
### Trainin... | [
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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": []} | morioxd/fine_tuned_13b | 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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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. -->
# bart-base-combined
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an u... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-base", "model-index": [{"name": "bart-base-combined", "results": []}]} | TerryLaw535/bart-base-combined | null | [
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| bart-base-combined
==================
This model is a fine-tuned version of facebook/bart-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.2529
* Rouge1: 39.474
* Rouge2: 15.406
* Rougel: 27.6651
* Rougelsum: 36.2084
* Gen Len: 75.5717
Model description
--------------... | [
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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. -->
# mistral7binstruct_summarize-v3
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral7binstruct_summarize-v3", "results": []}]} | asahikuroki222/mistral7binstruct_summarize-v3 | null | [
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| mistral7binstruct\_summarize-v3
===============================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4494
Model description
-----------------
More information needed
Intended uses &... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/sad_pepe_34 | 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. -->
# sentiment-bert-base-uncased-ALL-SAMPLES3epochsValidation
This model is a fine-tuned version of [bert-base-uncased](https://huggi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "bert-base-uncased", "model-index": [{"name": "sentiment-bert-base-uncased-ALL-SAMPLES3epochsValidation", "results": []}]} | AndreiUrsu/sentiment-bert-base-uncased-ALL-SAMPLES3epochsValidation | null | [
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#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# sentiment-bert-base-uncased-ALL-SAMPLES3epochsValidation
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2711
- Accuracy: 0.9392
- F1: 0.9392
## Model description
More information needed
## Intended uses & limitat... | [
"# sentiment-bert-base-uncased-ALL-SAMPLES3epochsValidation\n\nThis model is a fine-tuned version of bert-base-uncased on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.2711\n- Accuracy: 0.9392\n- F1: 0.9392",
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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": []} | KvrParaskevi/gemma-2b-Hotel-Assitant-1 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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- Funded by [optional]:
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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. -->
# distilbert-base-uncased-lora-text-classification
This model is a fine-tuned version of [distilbert-base-uncased](https://hugging... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-lora-text-classification", "results": []}]} | oliver-chen/distilbert-base-uncased-lora-text-classification | null | [
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"safetensors",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"region:us"
] | null | 2024-04-17T18:49:44+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #region-us
| distilbert-base-uncased-lora-text-classification
================================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1143
* Accuracy: {'accuracy': 0.885}
Model description
---------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.001\n* train\\_batch\\_size: 4\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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reinforcement-learning | transformers |
# TRL Model
This is a [TRL language model](https://github.com/huggingface/trl) that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TR... | {"license": "apache-2.0", "tags": ["trl", "ppo", "transformers", "reinforcement-learning"]} | baek26/billsum_1703_bart-billsum | null | [
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"region:us"
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#transformers #safetensors #bart #text2text-generation #trl #ppo #reinforcement-learning #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# TRL Model
This is a TRL language model that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TRL library:
You can then generate te... | [
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text-generation | transformers |
# PhwyzardLM 2 7B
This model was converted to GGUF format from [`grimjim/zephyr-beta-wizardLM-2-merge-7B`](https://huggingface.co/grimjim/zephyr-beta-wizardLM-2-merge-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](http... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mistral", "merge", "gguf-my-repo"], "base_model": ["lucyknada/microsoft_WizardLM-2-7B", "HuggingFaceH4/zephyr-7b-beta"], "pipeline_tag": "text-generation"} | twodgirl/zephyr-beta-wizardLM-2-merge-7B-Q6_K-GGUF | null | [
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|
# PhwyzardLM 2 7B
This model was converted to GGUF format from 'grimjim/zephyr-beta-wizardLM-2-merge-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
| [
"# PhwyzardLM 2 7B\nThis model was converted to GGUF format from 'grimjim/zephyr-beta-wizardLM-2-merge-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model."
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-20var-ChatBot
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.1-GPTQ](https://huggingface.co/TheB... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.1-GPTQ", "model-index": [{"name": "mistral-20var-ChatBot", "results": []}]} | neuralleap/mistral-20var-ChatBot | null | [
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|
# mistral-20var-ChatBot
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trai... | [
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null | null | hello | {} | arzoop/trial2 | null | [
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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 - rzhen0615/my_boyfriend_David_LoRA
<Gallery />
## Model description
These are rzhen0615/my_boyf... | {"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", "text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stabl... | rzhen0615/my_boyfriend_David_LoRA | null | [
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|
# SDXL LoRA DreamBooth - rzhen0615/my_boyfriend_David_LoRA
<Gallery />
## Model description
These are rzhen0615/my_boyfriend_David_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used... | [
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text-generation | transformers |
# yk_8x7b_model
yk_8x7b_model is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B)
* [beowolx/CodeNinja-1.0-OpenChat-7B](ht... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "mlabonne/AlphaMonarch-7B", "beowolx/CodeNinja-1.0-OpenChat-7B", "SanjiWatsuki/Kunoichi-DPO-v2-7B", "mlabonne/NeuralDaredevil-7B", "HuggingFaceH4/zephyr-7b-beta", "mistralai/Mistral-7B-Instruct-v0.2", "teknium/OpenHermes-2.5-Mi... | yatinece/yk_8x7b_model_v1 | null | [
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"mixtral",
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"SanjiWatsuki/Kunoichi-DPO-v2-7B",
"mlabonne/NeuralDaredevil-7B",
"HuggingFaceH4/zephyr-7b-beta",
"mistr... | null | 2024-04-17T18:54:46+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #moe #frankenmoe #merge #mergekit #lazymergekit #mlabonne/AlphaMonarch-7B #beowolx/CodeNinja-1.0-OpenChat-7B #SanjiWatsuki/Kunoichi-DPO-v2-7B #mlabonne/NeuralDaredevil-7B #HuggingFaceH4/zephyr-7b-beta #mistralai/Mistral-7B-Instruct-v0.2 #teknium/OpenHermes-2.5-M... |
# yk_8x7b_model
yk_8x7b_model is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* mlabonne/AlphaMonarch-7B
* beowolx/CodeNinja-1.0-OpenChat-7B
* SanjiWatsuki/Kunoichi-DPO-v2-7B
* mlabonne/NeuralDaredevil-7B
* HuggingFaceH4/zephyr-7b-beta
* mistralai/Mistral-7B-Instruct-v0.2
* teknium/Op... | [
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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": []} | heyllm234/sc51 | null | [
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] | null | 2024-04-17T18:55:41+00:00 | [
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
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- Model type:
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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. -->
# mbart-neutralization
This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large... | {"license": "mit", "tags": ["simplification", "generated_from_trainer"], "metrics": ["bleu"], "base_model": "facebook/mbart-large-50", "model-index": [{"name": "mbart-neutralization", "results": []}]} | crrodrvi/mbart-neutralization | null | [
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| mbart-neutralization
====================
This model is a fine-tuned version of facebook/mbart-large-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.0459
* Bleu: 8.565
* Gen Len: 20.9268
Model description
-----------------
More information needed
Intended uses & li... | [
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text-generation | transformers | # WestIceLemonTeaRP-32k-7b
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
Prompt template: Alpaca, maybe ChatML
* mea... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge", "alpaca", "mistral", "not-for-all-audiences", "nsfw"], "base_model": ["s3nh/SeverusWestLake-7B-DPO", "icefog72/IceLemonTeaRP-32k-7b", "amazingvince/Not-WizardLM-2-7B"], "model-index": [{"name": "WestIceLemonTeaRP-32k-7b", "results... | icefog72/WestIceLemonTeaRP-32k-7b | null | [
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"model-ind... | null | 2024-04-17T19:05:05+00:00 | [] | [] | TAGS
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========================
!image/png
This is a merge of pre-trained language models created using mergekit.
Merge Details
-------------
Prompt template: Alpaca, maybe ChatML
* URL for quanting exl2 included.
* 4.2bpw-exl2
* 6.5bpw-exl2
* 8bpw-exl2
thx mradermacher and SilverFan for... | [
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text-generation | transformers |
This is an upscaled fp16 variant of the original Mistral-7b-Instruct-v0.2 base model by Mistral after it has been loaded with nf4 4-bit quantization via bitsandbytes.
The main idea here is to upscale the linear4bit layers to fp16 so that the quantization/dequantization cost doesn't have to paid for each forward pass a... | {"license": "apache-2.0", "tags": ["text-generation-inference"]} | predibase/Mistral-7B-Instruct-v0.2-dequantized | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# model_hh_usp1_200
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_hh_usp1_200", "results": []}]} | guoyu-zhang/model_hh_usp1_200 | null | [
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#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us
| model\_hh\_usp1\_200
====================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4318
* Rewards/chosen: 1.1781
* Rewards/rejected: -0.7550
* Rewards/accuracies: 0.6400
* Rewards/margins: 1.9331
* L... | [
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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. -->
# lmd-4bars-2048-epochs7
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "lmd-4bars-2048-epochs7", "results": []}]} | MikeMpapa/lmd-4bars-2048-epochs01 | null | [
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| lmd-4bars-2048-epochs7
======================
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 4.7679
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More inf... | [
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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": []} | engine58848/ejiwdmes_sn5_61 | 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. -->
# roberta-depression-detection-v2
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the... | {"license": "mit", "tags": ["generated_from_trainer"], "model-index": [{"name": "roberta-depression-detection-v2", "results": []}]} | almafaz/roberta-depression-detection-v2 | null | [
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#transformers #pytorch #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #region-us
| roberta-depression-detection-v2
===============================
This model is a fine-tuned version of roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1526
Model description
-----------------
More information needed
Intended uses & limitations
--------------... | [
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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. -->
# cnn_dailymail_3864_bart-base
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-bas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-base", "model-index": [{"name": "cnn_dailymail_3864_bart-base", "results": []}]} | baek26/cnn_dailymail_3864_bart-base | null | [
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| cnn\_dailymail\_3864\_bart-base
===============================
This model is a fine-tuned version of facebook/bart-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9201
* Rouge1: 0.2472
* Rouge2: 0.1256
* Rougel: 0.2063
* Rougelsum: 0.2331
* Gen Len: 20.0
Model descr... | [
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text-generation | transformers |
# Model Card for Mixtral-8x22B-Instruct-v0.1
The Mixtral-8x22B-Instruct-v0.1 Large Language Model (LLM) is an instruct fine-tuned version of the [Mixtral-8x22B-v0.1](https://huggingface.co/mistralai/Mixtral-8x22B-v0.1).
Model added by [Prince Canuma](https://twitter.com/Prince_Canuma).
## Run the model
```python
fr... | {"license": "apache-2.0"} | mistral-community/Mixtral-8x22B-Instruct-v0.1-4bit | null | [
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|
# Model Card for Mixtral-8x22B-Instruct-v0.1
The Mixtral-8x22B-Instruct-v0.1 Large Language Model (LLM) is an instruct fine-tuned version of the Mixtral-8x22B-v0.1.
Model added by Prince Canuma.
## Run the model
# Instruct tokenizer
The HuggingFace tokenizer included in this release should match our own. To compa... | [
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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": "NousResearch/Llama-2-7b-chat-hf"} | Kunalpal216/llama2-tuned | null | [
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#peft #pytorch #safetensors #llama #arxiv-1910.09700 #base_model-NousResearch/Llama-2-7b-chat-hf #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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text-generation | transformers | # Jersey Devil 14b
This model is a merge of three self-merged Solar-based models in a 14b (64 layer) configuration. The result of
this "frankenmerge" is a medium-sized model that contains some of... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["solar"]} | MarsupialAI/JerseyDevil-14b | null | [
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#transformers #safetensors #llama #text-generation #solar #en #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Jersey Devil 14b
!image/jpeg
This model is a merge of three self-merged Solar-based models in a 14b (64 layer) configuration. The result of
this "frankenmerge" is a medium-sized model that contains some of the latest funky solar finetunes.
Mergefuel:
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- TheDrummer/Moistral-11B-v2
- akra... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="gabybaldeon/taxi_v3_v1", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False e... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "taxi_v3_v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.52 +... | gabybaldeon/taxi_v3_v1 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-17T19:16:52+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gpt2-finetuned-justification-v1
This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achiev... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "gpt2-finetuned-justification-v1", "results": []}]} | satyanshu404/gpt2-finetuned-justification-v1 | null | [
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] | null | 2024-04-17T19:18:13+00:00 | [] | [] | TAGS
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| gpt2-finetuned-justification-v1
===============================
This model is a fine-tuned version of [](URL on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4104
Model description
-----------------
More information needed
Intended uses & limitations
--------------------... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | martinsinnona/visdecode_2024_1 | null | [
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text2text-generation | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
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text-generation | transformers |
# KSI-RPG-128k-7B
KSI-RPG-128k-7B is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [AlekseiPravdin/KSI-RP-NSK-128k-7B](https://huggingface.co/AlekseiPravdin/KSI-RP-NSK-128k-7B)
* [flammenai/flammen18X-mistral-7B](https://huggingface.co/flammenai/flammen18X-mistral-7B)
## 🧩 C... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "AlekseiPravdin/KSI-RP-NSK-128k-7B", "flammenai/flammen18X-mistral-7B"]} | AlekseiPravdin/KSI-RPG-128k-7B | null | [
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|
# KSI-RPG-128k-7B
KSI-RPG-128k-7B is a merge of the following models using mergekit:
* AlekseiPravdin/KSI-RP-NSK-128k-7B
* flammenai/flammen18X-mistral-7B
## Configuration
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null | transformers |
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text-generation | transformers |
This is an upscaled fp16 variant of the original Llama-2-7b base model by Meta after it has been loaded with nf4 4-bit quantization via bitsandbytes.
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text-generation | transformers | This model contains the weights of pretrained TransVerse model covering text-image-video-audio (tiva), which is built upon
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- 2) [ImageBind](https://dl.fbaipublicfiles.com/imagebind/imagebind_huge.pth)
- 3) [Stable Diffusion](https:... | {"license": "cc-by-nc-sa-4.0"} | 3it/TransVerse-v1 | null | [
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text-generation | transformers |
This is an upscaled fp16 variant of the original Llama-2-7b-chat base model by Meta after it has been loaded with nf4 4-bit quantization via bitsandbytes.
The main idea here is to upscale the linear4bit layers to fp16 so that the quantization/dequantization cost doesn't have to paid for each forward pass at inference ... | {"license": "apache-2.0", "tags": ["text-generation-inference"]} | predibase/Llama-2-7b-chat-hf-dequantized | null | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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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": []} | eeshanpatel/Roberta-triplet-finetuned-v2.0 | null | [
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text-generation | transformers |
This is an upscaled fp16 variant of the original Codellama-7b-instruct base model by Meta after it has been loaded with nf4 4-bit quantization via bitsandbytes.
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text-generation | transformers |
This is an upscaled fp16 variant of the original Llama-2-13b-chat base model by Meta after it has been loaded with nf4 4-bit quantization via bitsandbytes.
The main idea here is to upscale the linear4bit layers to fp16 so that the quantization/dequantization cost doesn't have to paid for each forward pass at inference... | {"license": "apache-2.0", "tags": ["text-generation-inference"]} | predibase/Llama-2-13b-chat-hf-dequantized | null | [
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text-generation | transformers |
This is an upscaled fp16 variant of the original CodeLlama-13b-instruct base model by Meta after it has been loaded with nf4 4-bit quantization via bitsandbytes.
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This is an upscaled fp16 variant of the original CodeLlama-13b-instruct base model by Meta after it has been loaded with nf4 4-bit quantization via bitsandbytes.
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text-generation | transformers |
This is an upscaled fp16 variant of the original Mistral-7B-Instruct-v0.1 base model by Mistral after it has been loaded with nf4 4-bit quantization via bitsandbytes.
The main idea here is to upscale the linear4bit layers to fp16 so that the quantization/dequantization cost doesn't have to paid for each forward pass a... | {"license": "apache-2.0", "tags": ["text-generation-inference"]} | predibase/Mistral-7B-Instruct-v0.1-dequantized | null | [
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|
This is an upscaled fp16 variant of the original Mistral-7B-Instruct-v0.1 base model by Mistral after it has been loaded with nf4 4-bit quantization via bitsandbytes.
The main idea here is to upscale the linear4bit layers to fp16 so that the quantization/dequantization cost doesn't have to paid for each forward pass a... | [] | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/AlekseiPravdin/KSI-RP-NSK-128k-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do no... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "AlekseiPravdin/KukulStanta-InfinityRP-7B-slerp", "AlekseiPravdin/NSK-128k-7B-slerp"], "base_model": "AlekseiPravdin/KSI-RP-NSK-128k-7B", "quantized_by": "mradermacher"} | mradermacher/KSI-RP-NSK-128k-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 |
This is an upscaled fp16 variant of the original HuggingFaceH4/zephyr-7b-beta model after it has been loaded with nf4 4-bit quantization via bitsandbytes.
The main idea here is to upscale the linear4bit layers to fp16 so that the quantization/dequantization cost doesn't have to paid for each forward pass at inference ... | {"license": "apache-2.0", "tags": ["text-generation-inference"]} | predibase/zephyr-7b-beta-dequantized | null | [
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#transformers #safetensors #mistral #text-generation #text-generation-inference #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
This is an upscaled fp16 variant of the original HuggingFaceH4/zephyr-7b-beta model after it has been loaded with nf4 4-bit quantization via bitsandbytes.
The main idea here is to upscale the linear4bit layers to fp16 so that the quantization/dequantization cost doesn't have to paid for each forward pass at inference ... | [] | [
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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": []} | badrmarani/mymodel-test | null | [
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"safetensors",
"resnet",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #resnet #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:
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- License... | [
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text-generation | transformers |
This is an upscaled fp16 variant of the original Llama-2-70b-chat base model by Meta after it has been loaded with nf4 4-bit quantization via bitsandbytes.
The main idea here is to upscale the linear4bit layers to fp16 so that the quantization/dequantization cost doesn't have to paid for each forward pass at inference... | {"license": "apache-2.0", "tags": ["text-generation-inference"]} | predibase/Llama-2-70b-chat-hf-dequantized | null | [
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#transformers #safetensors #llama #text-generation #text-generation-inference #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
This is an upscaled fp16 variant of the original Llama-2-70b-chat base model by Meta after it has been loaded with nf4 4-bit quantization via bitsandbytes.
The main idea here is to upscale the linear4bit layers to fp16 so that the quantization/dequantization cost doesn't have to paid for each forward pass at inference... | [] | [
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text-generation | transformers |
This is an upscaled fp16 variant of the original NousResearch/Yarn-Mistral-7b-128k base model after it has been loaded with nf4 4-bit quantization via bitsandbytes.
The main idea here is to upscale the linear4bit layers to fp16 so that the quantization/dequantization cost doesn't have to paid for each forward pass at ... | {"license": "apache-2.0", "tags": ["text-generation-inference"]} | predibase/NousResearch-Yarn-Mistral-7b-128k-dequantized | null | [
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#transformers #safetensors #mistral #text-generation #text-generation-inference #custom_code #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
This is an upscaled fp16 variant of the original NousResearch/Yarn-Mistral-7b-128k base model after it has been loaded with nf4 4-bit quantization via bitsandbytes.
The main idea here is to upscale the linear4bit layers to fp16 so that the quantization/dequantization cost doesn't have to paid for each forward pass at ... | [] | [
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text-generation | transformers |
This is an upscaled fp16 variant of the original CodeLlama-70b-instruct base model by Meta after it has been loaded with nf4 4-bit quantization via bitsandbytes.
The main idea here is to upscale the linear4bit layers to fp16 so that the quantization/dequantization cost doesn't have to paid for each forward pass at inf... | {"license": "apache-2.0", "tags": ["text-generation-inference"]} | predibase/CodeLlama-70B-Instruct-hf-dequantized | null | [
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] | null | 2024-04-17T19:30:14+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #text-generation-inference #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
This is an upscaled fp16 variant of the original CodeLlama-70b-instruct base model by Meta after it has been loaded with nf4 4-bit quantization via bitsandbytes.
The main idea here is to upscale the linear4bit layers to fp16 so that the quantization/dequantization cost doesn't have to paid for each forward pass at inf... | [] | [
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text-generation | transformers |
This is an upscaled fp16 variant of the original Phi-2 base model by Microsoft after it has been loaded with nf4 4-bit quantization via bitsandbytes.
The main idea here is to upscale the linear4bit layers to fp16 so that the quantization/dequantization cost doesn't have to paid for each forward pass at inference time.... | {"license": "apache-2.0", "tags": ["text-generation-inference"]} | predibase/phi-2-dequantized | null | [
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#transformers #safetensors #phi #text-generation #text-generation-inference #custom_code #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
This is an upscaled fp16 variant of the original Phi-2 base model by Microsoft after it has been loaded with nf4 4-bit quantization via bitsandbytes.
The main idea here is to upscale the linear4bit layers to fp16 so that the quantization/dequantization cost doesn't have to paid for each forward pass at inference time.... | [] | [
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text-generation | transformers |
This is an upscaled fp16 variant of the original Mistral-7b base model by Mistral after it has been loaded with nf4 4-bit quantization via bitsandbytes.
The main idea here is to upscale the linear4bit layers to fp16 so that the quantization/dequantization cost doesn't have to paid for each forward pass at inference ti... | {"license": "apache-2.0", "tags": ["text-generation-inference"]} | predibase/Mistral-7B-v0.1-dequantized | null | [
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"region:us"
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#transformers #safetensors #mistral #text-generation #text-generation-inference #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
This is an upscaled fp16 variant of the original Mistral-7b base model by Mistral after it has been loaded with nf4 4-bit quantization via bitsandbytes.
The main idea here is to upscale the linear4bit layers to fp16 so that the quantization/dequantization cost doesn't have to paid for each forward pass at inference ti... | [] | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mistralai/Mistral-7B-v0.1", "mistralai/Mistral-7B-Instruct-v0.2", "BioMistral/BioMistral-7B"]} | mergekit-community/mergekit-ties-cmdmayc | null | [
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"base_model:BioMistral/BioMistral-7B",
"autotrain_compatible",
"endpoints_compatible",
"text-generati... | null | 2024-04-17T19:31:54+00:00 | [
"2306.01708"
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using mistralai/Mistral-7B-v0.1 as a base.
### Models Merged
The following models were included in the merge:
* mistralai/Mistral-7B-Instruct-v0.2
* Bio... | [
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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. -->
# remote_sensing_gpt_expt4
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on ... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "remote_sensing_gpt_expt4", "results": []}]} | gremlin97/remote_sensing_gpt_expt4 | null | [
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"base_model:microsoft/phi-1_5",
"license:mit",
"region:us"
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#peft #safetensors #generated_from_trainer #base_model-microsoft/phi-1_5 #license-mit #region-us
| remote\_sensing\_gpt\_expt4
===========================
This model is a fine-tuned version of microsoft/phi-1\_5 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.3855
Model description
-----------------
More information needed
Intended uses & limitations
----------------... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Enagamirzayev/whisper-small-llm-lingo-adapters_p | null | [
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mr_sam_wav2vec2_nigerian_accent_v1
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/faceboo... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "mr_sam_wav2vec2_nigerian_accent_v1", "results": []}]} | samuelchiji/mr_sam_wav2vec2_nigerian_accent_v1 | null | [
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"license:apache-2.0",
"endpoints_compatible",
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| mr\_sam\_wav2vec2\_nigerian\_accent\_v1
=======================================
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3400
* Wer: 0.1900
Model description
-----------------
More information needed
... | [
"### 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: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_... | [
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automatic-speech-recognition | 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": []} | Enagamirzayev/whisper-small-llm-lingo_p | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Coxcomb
A creative writing model, using the superb [senseable/WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2) as a base, finetuned on GPT-4 outputs to a diverse var... | {"language": ["en"], "license": "apache-2.0", "datasets": ["N8Programs/CreativeGPT"], "pipeline_tag": "text-generation"} | N8Programs/Coxcomb | null | [
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|
!image/png
# Model Card for Coxcomb
A creative writing model, using the superb senseable/WestLake-7B-v2 as a base, finetuned on GPT-4 outputs to a diverse variety of prompts. It in no way competes with GPT-4 - it's quality of writing is below it, and it is primarily meant to be run in offline, local environments.
On... | [
"# Model Card for Coxcomb\n\nA creative writing model, using the superb senseable/WestLake-7B-v2 as a base, finetuned on GPT-4 outputs to a diverse variety of prompts. It in no way competes with GPT-4 - it's quality of writing is below it, and it is primarily meant to be run in offline, local environments.\nOn crea... | [
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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": []} | kevin36524/gemma-Code-Instruct-Finetune-yahoo-mail | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null |
# KSI-RPG-128k-7B-GGUF ⭐️⭐️⭐️
KSI-RPG-128k-7B is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [AlekseiPravdin/KSI-RP-NSK-128k-7B](https://huggingface.co/AlekseiPravdin/KSI-RP-NSK-128k-7B)
* [flammenai/flammen18X-mistral-7B](https://huggingface.co/flammenai/flammen18X-mistral-... | {"language": ["en", "ru", "th"], "license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "AlekseiPravdin/KSI-RP-NSK-128k-7B", "flammenai/flammen18X-mistral-7B", "gguf", "Q2_K", "Q3_K_L", "Q3_K_M", "Q3_K_S", "Q4_0", "Q4_1", "Q4_K_S", "Q4_k_m", "Q5_0", "Q5_1", "Q6_K", "Q5_K_S", "Q5_k_m", "Q8_0", "128k"]} | AlekseiPravdin/KSI-RPG-128k-7B-gguf | null | [
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|
# KSI-RPG-128k-7B-GGUF ⭐️⭐️⭐️
KSI-RPG-128k-7B is a merge of the following models using mergekit:
* AlekseiPravdin/KSI-RP-NSK-128k-7B
* flammenai/flammen18X-mistral-7B
## Configuration
Eval embedding benchmark (with 70 specific quesions):
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!URL | [
"# KSI-RPG-128k-7B-GGUF ⭐️⭐️⭐️\n\nKSI-RPG-128k-7B is a merge of the following models using mergekit:\n* AlekseiPravdin/KSI-RP-NSK-128k-7B\n* flammenai/flammen18X-mistral-7B",
"## Configuration\n\n\n\nEval embedding benchmark (with 70 specific quesions):\n\n!URL\n!URL\n!URL\n!URL\n!URL\n!URL\n!URL\n!URL\n!URL\n!U... | [
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"# KSI-RPG-128k-7B-GGUF ⭐️⭐️⭐️\n\nKSI-RPG-128k-7B ... | [
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"TAGS\n#gguf #merge #mergekit #lazymergekit #AlekseiPravdin/KSI-RP-NSK-128k-7B #flammenai/flammen18X-mistral-7B #Q2_K #Q3_K_L #Q3_K_M #Q3_K_S #Q4_0 #Q4_1 #Q4_K_S #Q4_k_m #Q5_0 #Q5_1 #Q6_K #Q5_K_S #Q5_k_m #Q8_0 #128k #en #ru #th #license-apache-2.0 #region-us \n# KSI-RPG-128k-7B-GGUF ⭐️⭐️⭐️\n\nKSI-RPG-128k-7B is a m... |
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