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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - rfhuang/maui-no-vest-800
<Gallery />
## Model description
These are rfhuang/maui-no-vest-800 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text encoder was enabled... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A photo of a dog named Maui in random situations, taken from a smartphone camer... | rfhuang/maui-no-vest-800 | null | [
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|
# AutoTrain SDXL LoRA DreamBooth - rfhuang/maui-no-vest-800
<Gallery />
## Model description
These are rfhuang/maui-no-vest-800 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 for tr... | [
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zero-shot-classification | transformers |
Multilingual mDeBERTa base model fineted on Text_emotions dataset.
Dataset link : https://www.kaggle.com/datasets/nelgiriyewithana/emotions/data
Finetuned for classifying text into sadness (0) joy (1) love (2) anger (3) fear (4) and surprise (5) emotions. | {"language": ["multilingual", "zh", "ja", "ar", "ko", "de", "fr", "es", "pt", "hi", "id", "it", "tr", "ru", "bn", "ur", "mr", "ta", "vi", "fa", "pl", "uk", "nl", "sv", "he", "sw", "ps"], "license": "mit", "library_name": "transformers", "tags": ["text-classification", "zero-shot-classification", "nli", "pytorch"], "pip... | VivekMalipatel23/mDeBERTa-v3-base-text-emotion-classification | null | [
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Multilingual mDeBERTa base model fineted on Text_emotions dataset.
Dataset link : URL
Finetuned for classifying text into sadness (0) joy (1) love (2) anger (3) fear (4) and surprise (5) emotions. | [] | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
dolly-v2-7b - bnb 8bits
- Model creator: https://huggingface.co/databricks/
- Original model: https://huggingface.co/databri... | {} | RichardErkhov/databricks_-_dolly-v2-7b-8bits | null | [
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] | null | 2024-04-14T20:53:21+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt_neox #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
dolly-v2-7b - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: mit
language:
* en
library\_name: transformers
inference: false
datasets:
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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": []} | SpideyDLK/wav2vec2-large-xls-r-300m-sinhala-aug-data-with-original-split-part2 | null | [
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#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #arxiv-1910.09700 #endpoints_compatible #region-us
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# feizhe/vit-base-patch16-224-in21k-pheno-run5
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://hugging... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "feizhe/vit-base-patch16-224-in21k-pheno-run5", "results": []}]} | feizhe/vit-base-patch16-224-in21k-pheno-run5 | null | [
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| feizhe/vit-base-patch16-224-in21k-pheno-run5
============================================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.0782
* Train Accuracy: 0.9985
* Train Top-3-accuracy: 1.0
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'inner\\_optimizer': {'class\\_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning\\_rate': {'class\\_name': 'PolynomialDecay', 'config': {'initial\\_learning\\_rate': 2e-05, 'decay\\... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
dolly-v2-3b - bnb 4bits
- Model creator: https://huggingface.co/databricks/
- Original model: https://huggingface.co/databri... | {} | RichardErkhov/databricks_-_dolly-v2-3b-4bits | null | [
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"text-generation",
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] | null | 2024-04-14T21:03:03+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt_neox #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
dolly-v2-3b - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: mit
language:
* en
library\_name: transformers
inference: false
datasets:
* databricks/databricks-do... | [
"### LangChain Usage\n\n\nTo use the pipeline with LangChain, you must set 'return\\_full\\_text=True', as LangChain expects the full text to be returned\nand the default for the pipeline is to only return the new text.\n\n\nYou can create a prompt that either has only an instruction or has an instruction with cont... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
dolly-v2-3b - bnb 8bits
- Model creator: https://huggingface.co/databricks/
- Original model: https://huggingface.co/databri... | {} | RichardErkhov/databricks_-_dolly-v2-3b-8bits | null | [
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"safetensors",
"gpt_neox",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-14T21:04:43+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt_neox #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
dolly-v2-3b - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: mit
language:
* en
library\_name: transformers
inference: false
datasets:
* databricks/databricks-do... | [
"### LangChain Usage\n\n\nTo use the pipeline with LangChain, you must set 'return\\_full\\_text=True', as LangChain expects the full text to be returned\nand the default for the pipeline is to only return the new text.\n\n\nYou can create a prompt that either has only an instruction or has an instruction with cont... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-multilingual-cased_regression_finetuned_ptt
This model is a fine-tuned version of [distilbert/distilbert-base-mu... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert/distilbert-base-multilingual-cased", "model-index": [{"name": "distilbert-base-multilingual-cased_regression_finetuned_ptt", "results": []}]} | Mou11209203/distilbert-base-multilingual-cased_regression_finetuned_ptt | null | [
"transformers",
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"distilbert",
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"base_model:distilbert/distilbert-base-multilingual-cased",
"license:apache-2.0",
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#transformers #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-multilingual-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-multilingual-cased\_regression\_finetuned\_ptt
==============================================================
This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8809
* Mse: 1.88... | [
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"TAGS\n#transformers #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-multilingual-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
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null | mlx |
# GreenBitAI/Llama-2-7B-chat-layer-mix-bpw-3.0-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/Llama-2-7B-chat-layer-mix-bpw-3.0`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/Llama-2-7B-chat-layer-mix-bpw-3.0) for more details on the model.
## Use with mlx
``... | {"license": "apache-2.0", "tags": ["mlx"]} | GreenBitAI/Llama-2-7B-Chat-layer-mix-bpw-3.0-mlx | null | [
"mlx",
"safetensors",
"llama",
"license:apache-2.0",
"region:us"
] | null | 2024-04-14T21:10:17+00:00 | [] | [] | TAGS
#mlx #safetensors #llama #license-apache-2.0 #region-us
|
# GreenBitAI/Llama-2-7B-chat-layer-mix-bpw-3.0-mlx
This quantized low-bit model was converted to MLX format from ['GreenBitAI/Llama-2-7B-chat-layer-mix-bpw-3.0']().
Refer to the original model card for more details on the model.
## Use with mlx
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] |
token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# MLMA-Lab8-FinetunedBioGPT
This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on a... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/biogpt", "model-index": [{"name": "MLMA-Lab8-FinetunedBioGPT", "results": []}]} | kthammana/MLMA-Lab8-FinetunedBioGPT | null | [
"transformers",
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"safetensors",
"gpt2",
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"base_model:microsoft/biogpt",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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| MLMA-Lab8-FinetunedBioGPT
=========================
This model is a fine-tuned version of microsoft/biogpt on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1455
* Precision: 0.4444
* Recall: 0.5388
* F1: 0.4871
* Accuracy: 0.9572
Model description
-----------------
More ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Training... | [
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null | null |
# YiffyEstopianMaid 13B - GGUF
- Model creator: [Katy Vetteriano](https://huggingface.co/KatyTheCutie)
- Original model: [YiffyEstopianMaid 13B](https://huggingface.co/KatyMergeTesting/YiffyEstopianMaid-13B)
<!-- description start -->
## Description
This repo contains GGUF format model files for [Katy Vetteriano's Y... | {"language": ["en"], "license": "llama2", "tags": ["llama-cpp", "gguf-my-repo", "roleplay", "text-generation-inference"], "model_name": "YiffyEstopianMaid 13B", "base_model": "KatyMergeTesting/YiffyEstopianMaid-13B", "inference": false, "model_creator": "Katy Vetteriano", "model_type": "llama", "prompt_template": "Belo... | boxomcfoxo/YiffyEstopianMaid-13B-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"roleplay",
"text-generation-inference",
"en",
"base_model:KatyMergeTesting/YiffyEstopianMaid-13B",
"license:llama2",
"region:us"
] | null | 2024-04-14T21:11:34+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #roleplay #text-generation-inference #en #base_model-KatyMergeTesting/YiffyEstopianMaid-13B #license-llama2 #region-us
| YiffyEstopianMaid 13B - GGUF
============================
* Model creator: Katy Vetteriano
* Original model: YiffyEstopianMaid 13B
Description
-----------
This repo contains GGUF format model files for Katy Vetteriano's YiffyEstopianMaid 13B.
These files were quantized using URL via URL's GGUF-my-repo space.
... | [
"### In 'text-generation-webui'\n\n\nUnder Download Model, you can enter the model repo: boxomcfoxo/YiffyEstopianMaid-13B-GGUF and below it, a specific filename to download, such as: yiffyestopianmaid-13b.Q4\\_K\\_M.gguf.\n\n\nThen click Download.",
"### On the command line, including multiple files at once\n\n\n... | [
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text-generation | transformers |
# Spaetzle-v60-7b
This is progressive (mostly dare-ties, but also slerp) merge with the intention of suitable compromise for English and German local tasks.
The performance looks ok so far: e.g. we get in EQ-Bench: Score (v2_de): 65.08 (Parseable: 171.0).
Spaetzle-v60-7b is a merge of the following models using [Laz... | {"tags": ["merge", "mergekit", "lazymergekit", "abideen/AlphaMonarch-dora"], "base_model": ["abideen/AlphaMonarch-dora"]} | cstr/Spaetzle-v60-7b | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"abideen/AlphaMonarch-dora",
"conversational",
"base_model:abideen/AlphaMonarch-dora",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T21:12:09+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #abideen/AlphaMonarch-dora #conversational #base_model-abideen/AlphaMonarch-dora #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Spaetzle-v60-7b
This is progressive (mostly dare-ties, but also slerp) merge with the intention of suitable compromise for English and German local tasks.
The performance looks ok so far: e.g. we get in EQ-Bench: Score (v2_de): 65.08 (Parseable: 171.0).
Spaetzle-v60-7b is a merge of the following models using Lazy... | [
"# Spaetzle-v60-7b\n\nThis is progressive (mostly dare-ties, but also slerp) merge with the intention of suitable compromise for English and German local tasks.\nThe performance looks ok so far: e.g. we get in EQ-Bench: Score (v2_de): 65.08 (Parseable: 171.0).\n\nSpaetzle-v60-7b is a merge of the following models u... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #abideen/AlphaMonarch-dora #conversational #base_model-abideen/AlphaMonarch-dora #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
dolly-v2-12b - bnb 4bits
- Model creator: https://huggingface.co/databricks/
- Original model: https://huggingface.co/databr... | {} | RichardErkhov/databricks_-_dolly-v2-12b-4bits | null | [
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"safetensors",
"gpt_neox",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-14T21:13:27+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt_neox #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
dolly-v2-12b - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: mit
language:
* en
library\_name: transformers
inference: false
datasets:
* databricks/databricks-d... | [
"### LangChain Usage\n\n\nTo use the pipeline with LangChain, you must set 'return\\_full\\_text=True', as LangChain expects the full text to be returned\nand the default for the pipeline is to only return the new text.\n\n\nYou can create a prompt that either has only an instruction or has an instruction with cont... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [beowolx/MistralHermes-CodePro-7B-v1](https:... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["beowolx/MistralHermes-CodePro-7B-v1", "EmbeddedLLM/Medusa2-Mistral-7B-Instruct-v0.2"]} | K00B404/Merged_Beowolx-CodePro_Medusa2-7B-Mistral-I-v0-2 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
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"conversational",
"base_model:beowolx/MistralHermes-CodePro-7B-v1",
"base_model:EmbeddedLLM/Medusa2-Mistral-7B-Instruct-v0.2",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"regio... | null | 2024-04-14T21:14:24+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* beowolx/MistralHermes-CodePro-7B-v1
* EmbeddedLLM/Medusa2-Mistral-7B-Instruct-v0.... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* beowolx/MistralHermes-CodePro-7B-v1\n* EmbeddedLLM/Medus... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-multilingual-cased_regression_finetuned_news_all
This model is a fine-tuned version of [distilbert/distilbert-ba... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert/distilbert-base-multilingual-cased", "model-index": [{"name": "distilbert-base-multilingual-cased_regression_finetuned_news_all", "results": []}]} | Mou11209203/distilbert-base-multilingual-cased_regression_finetuned_news_all | null | [
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"base_model:distilbert/distilbert-base-multilingual-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T21:16:14+00:00 | [] | [] | TAGS
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| distilbert-base-multilingual-cased\_regression\_finetuned\_news\_all
====================================================================
This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8565... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: cosine\n* lr\\_scheduler\\_warmup\\_steps... | [
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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_finetuned
This model is a fine-tuned version of [hishab/titulm-1b-enbn-v1](https://huggingface.co/hishab/titulm-1b-enbn-... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "hishab/titulm-1b-enbn-v1", "model-index": [{"name": "mistral_finetuned", "results": []}]} | Virus-Proton/mistral_finetuned | null | [
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"safetensors",
"generated_from_trainer",
"base_model:hishab/titulm-1b-enbn-v1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-14T21:18:38+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-hishab/titulm-1b-enbn-v1 #license-apache-2.0 #region-us
|
# mistral_finetuned
This model is a fine-tuned version of hishab/titulm-1b-enbn-v1 on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.1066
- eval_runtime: 18.7031
- eval_samples_per_second: 5.347
- eval_steps_per_second: 2.673
- epoch: 0.0
- step: 100
## Model descriptio... | [
"# mistral_finetuned\n\nThis model is a fine-tuned version of hishab/titulm-1b-enbn-v1 on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 2.1066\n- eval_runtime: 18.7031\n- eval_samples_per_second: 5.347\n- eval_steps_per_second: 2.673\n- epoch: 0.0\n- step: 100",
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
dolly-v1-6b - bnb 4bits
- Model creator: https://huggingface.co/databricks/
- Original model: https://huggingface.co/databri... | {} | RichardErkhov/databricks_-_dolly-v1-6b-4bits | null | [
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"gptj",
"text-generation",
"arxiv:2212.10560",
"arxiv:2104.09864",
"arxiv:2203.02155",
"autotrain_compatible",
"endpoints_compatible",
"4-bit",
"region:us"
] | null | 2024-04-14T21:18:38+00:00 | [
"2212.10560",
"2104.09864",
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] | [] | TAGS
#transformers #safetensors #gptj #text-generation #arxiv-2212.10560 #arxiv-2104.09864 #arxiv-2203.02155 #autotrain_compatible #endpoints_compatible #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
dolly-v1-6b - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: cc-by-nc-4.0
datasets:
* tatsu-lab/alpaca
language:
* en
library\_name: transformers
inference: fals... | [
"### Brainstorming\n\n\nWhat are considerations I should keep in mind when planning a backcountry backpacking trip?\n\n\nWhen planning a backcountry backpacking trip, there are several considerations to keep in mind. First, make sure you are prepared for any potential weather conditions, including extreme temperatu... | [
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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_9 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T21:19:44+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
dolly-v2-12b - bnb 8bits
- Model creator: https://huggingface.co/databricks/
- Original model: https://huggingface.co/databr... | {} | RichardErkhov/databricks_-_dolly-v2-12b-8bits | null | [
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"gpt_neox",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-14T21:20:15+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt_neox #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
dolly-v2-12b - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: mit
language:
* en
library\_name: transformers
inference: false
datasets:
* databricks/databricks-d... | [
"### LangChain Usage\n\n\nTo use the pipeline with LangChain, you must set 'return\\_full\\_text=True', as LangChain expects the full text to be returned\nand the default for the pipeline is to only return the new text.\n\n\nYou can create a prompt that either has only an instruction or has an instruction with cont... | [
"TAGS\n#transformers #safetensors #gpt_neox #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n",
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"TAGS\n#transformers #safetensors #gpt_neox #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n### LangChain Usage\n\n\nTo use the pipeline with LangChain, you must set 'return\\_full\\_text=True', as LangChain expects the full text to be returned\nand the de... |
null | mlx |
# GreenBitAI/Llama-2-7B-chat-layer-mix-bpw-2.5-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/Llama-2-7B-chat-layer-mix-bpw-2.5`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/Llama-2-7B-chat-layer-mix-bpw-2.5) for more details on the model.
## Use with mlx
``... | {"license": "apache-2.0", "tags": ["mlx"]} | GreenBitAI/Llama-2-7B-Chat-layer-mix-bpw-2.5-mlx | null | [
"mlx",
"safetensors",
"llama",
"license:apache-2.0",
"region:us"
] | null | 2024-04-14T21:20:27+00:00 | [] | [] | TAGS
#mlx #safetensors #llama #license-apache-2.0 #region-us
|
# GreenBitAI/Llama-2-7B-chat-layer-mix-bpw-2.5-mlx
This quantized low-bit model was converted to MLX format from ['GreenBitAI/Llama-2-7B-chat-layer-mix-bpw-2.5']().
Refer to the original model card for more details on the model.
## Use with mlx
| [
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] |
null | mlx |
# GreenBitAI/Llama-2-7B-chat-layer-mix-bpw-2.2-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/Llama-2-7B-chat-layer-mix-bpw-2.2`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/Llama-2-7B-chat-layer-mix-bpw-2.2) for more details on the model.
## Use with mlx
``... | {"license": "apache-2.0", "tags": ["mlx"]} | GreenBitAI/Llama-2-7B-Chat-layer-mix-bpw-2.2-mlx | null | [
"mlx",
"safetensors",
"llama",
"license:apache-2.0",
"region:us"
] | null | 2024-04-14T21:20:27+00:00 | [] | [] | TAGS
#mlx #safetensors #llama #license-apache-2.0 #region-us
|
# GreenBitAI/Llama-2-7B-chat-layer-mix-bpw-2.2-mlx
This quantized low-bit model was converted to MLX format from ['GreenBitAI/Llama-2-7B-chat-layer-mix-bpw-2.2']().
Refer to the original model card for more details on the model.
## Use with mlx
| [
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] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/fangloveskari/ORCA_LLaMA_70B_QLoRA
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/ORCA_L... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "base_model": "fangloveskari/ORCA_LLaMA_70B_QLoRA", "quantized_by": "mradermacher"} | mradermacher/ORCA_LLaMA_70B_QLoRA-GGUF | null | [
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"en"
] | TAGS
#transformers #gguf #en #base_model-fangloveskari/ORCA_LLaMA_70B_QLoRA #license-llama2 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [K00B404/Merged_Beowolx-CodePro_Medusa2-7B-M... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["K00B404/Merged_Beowolx-CodePro_Medusa2-7B-Mistral-I-v0-2", "EmbeddedLLM/Mistral-7B-Merge-14-v0.1"]} | K00B404/Merged_Beowolx-CodePro_Medusa2-14X-7B-Mistral-I-v0-2 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
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"autotrain_compatible",
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"has_space",
"text-gen... | null | 2024-04-14T21:21:09+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* K00B404/Merged_Beowolx-CodePro_Medusa2-7B-Mistral-I-v0-2
* EmbeddedLLM/Mistral-7B... | [
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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": []} | SpideyDLK/wav2vec2-large-xls-r-300m-sinhala-original-split-part3 | null | [
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"tensorboard",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
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"endpoints_compatible",
"region:us"
] | null | 2024-04-14T21:22:24+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #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):
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
dolly-v1-6b - bnb 8bits
- Model creator: https://huggingface.co/databricks/
- Original model: https://huggingface.co/databri... | {} | RichardErkhov/databricks_-_dolly-v1-6b-8bits | null | [
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"arxiv:2203.02155",
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"endpoints_compatible",
"8-bit",
"region:us"
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"2212.10560",
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#transformers #safetensors #gptj #text-generation #arxiv-2212.10560 #arxiv-2104.09864 #arxiv-2203.02155 #autotrain_compatible #endpoints_compatible #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
dolly-v1-6b - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: cc-by-nc-4.0
datasets:
* tatsu-lab/alpaca
language:
* en
library\_name: transformers
inference: fals... | [
"### Brainstorming\n\n\nWhat are considerations I should keep in mind when planning a backcountry backpacking trip?\n\n\nWhen planning a backcountry backpacking trip, there are several considerations to keep in mind. First, make sure you are prepared for any potential weather conditions, including extreme temperatu... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | seachus/dqn-SpaceInvadersNoFrameskip-v4 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
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] | null | 2024-04-14T21:25:14+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-tra... | [
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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. -->
# DS-6.7B-schema_0
This model is a fine-tuned version of [deepseek-ai/deepseek-coder-6.7b-instruct](https://huggingface.co/deepsee... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "deepseek-ai/deepseek-coder-6.7b-instruct", "model-index": [{"name": "DS-6.7B-schema_0", "results": []}]} | jdeklerk10/DS-6.7B-schema_0 | null | [
"peft",
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"sft",
"generated_from_trainer",
"base_model:deepseek-ai/deepseek-coder-6.7b-instruct",
"license:other",
"region:us"
] | null | 2024-04-14T21:29:25+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-deepseek-ai/deepseek-coder-6.7b-instruct #license-other #region-us
| DS-6.7B-schema\_0
=================
This model is a fine-tuned version of deepseek-ai/deepseek-coder-6.7b-instruct on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1549
Model description
-----------------
More information needed
Intended uses & limitations
------------... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="APLunch/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional att... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | APLunch/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
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"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | heyllm234/sc13 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T21:33:28+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# mistralv1_lora_r8_25e5_e3
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mis... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistralv1_lora_r8_25e5_e3", "results": []}]} | fangzhaoz/mistralv1_lora_r8_25e5_e3 | null | [
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"base_model:mistralai/Mistral-7B-v0.1",
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# mistralv1_lora_r8_25e5_e3
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hype... | [
"# mistralv1_lora_r8_25e5_e3\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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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": []} | fangzhaoz/mistralv1_lora_r8_25e5_e3_merged | 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. -->
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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": []} | OwOOwO/dumbo-krillin | 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 | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
sparse_mistral_7b_refined_web_50p_2024-04-13 - bnb 4bits
- Model creator: https://huggingface.co/thrunlab/
- Original model:... | {} | RichardErkhov/thrunlab_-_sparse_mistral_7b_refined_web_50p_2024-04-13-4bits | null | [
"safetensors",
"region:us"
] | null | 2024-04-14T21:37:27+00:00 | [] | [] | TAGS
#safetensors #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
sparse\_mistral\_7b\_refined\_web\_50p\_2024-04-13 - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: apache-2.0
base\_model: mistralai/Mistral-7B-v0.1
tags:
* gen... | [
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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": []} | lingchensanwen/llama2-chat-generation-best-balanced | null | [
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] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
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- License... | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
sparse_mistral_7b_refined_web_50p_2024-04-13 - bnb 8bits
- Model creator: https://huggingface.co/thrunlab/
- Original model:... | {} | RichardErkhov/thrunlab_-_sparse_mistral_7b_refined_web_50p_2024-04-13-8bits | null | [
"safetensors",
"region:us"
] | null | 2024-04-14T21:38:18+00:00 | [] | [] | TAGS
#safetensors #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
sparse\_mistral\_7b\_refined\_web\_50p\_2024-04-13 - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: apache-2.0
base\_model: mistralai/Mistral-7B-v0.1
tags:
* gen... | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
sparse_mistral_7b_refined_web_50p_2024-04-13 - GGUF
- Model creator: https://huggingface.co/thrunlab/
- Original model: http... | {} | RichardErkhov/thrunlab_-_sparse_mistral_7b_refined_web_50p_2024-04-13-gguf | null | [
"gguf",
"region:us"
] | null | 2024-04-14T21:39:49+00:00 | [] | [] | TAGS
#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
sparse\_mistral\_7b\_refined\_web\_50p\_2024-04-13 - GGUF
* Model creator: URL
* Original model: URL
Name: sparse\_mistral\_7b\_refined\_web\_50p\_2024-04-13.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.53GB
Name: sparse\_mistral\_7b\_refin... | [
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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="izaznov/taxi_3_Q_learning", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=Fals... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "taxi_3_Q_learning", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": ... | izaznov/taxi_3_Q_learning | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-14T21:41:12+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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] |
null | null | # #Roleplay #Writing #Creative
This repository hosts GGUF-IQ-Imatrix quants for [ResplendentAI/Aura_7B](https://huggingface.co/ResplendentAI/Aura_7B).
"Please read all the model information at the bottom of the card."
![image/png](https://cdn-uploads.huggingface.co/production/uploads/626dfb8786671a29c715f8a9/HxOf1b4... | {"tags": ["gguf", "quantized", "roleplay", "multimodal", "vision", "llava", "sillytavern", "merge", "mistral", "conversational"], "inference": false} | Lewdiculous/Aura_7B-GGUF-IQ-Imatrix | null | [
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"roleplay",
"multimodal",
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"llava",
"sillytavern",
"merge",
"mistral",
"conversational",
"region:us"
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#gguf #quantized #roleplay #multimodal #vision #llava #sillytavern #merge #mistral #conversational #region-us
| # #Roleplay #Writing #Creative
This repository hosts GGUF-IQ-Imatrix quants for ResplendentAI/Aura_7B.
"Please read all the model information at the bottom of the card."
!image/png
What does "Imatrix" mean?
<details><summary>
⇲ Click here to expand/hide more information about this topic.
</summary>
It stands fo... | [
"# #Roleplay #Writing #Creative\n\nThis repository hosts GGUF-IQ-Imatrix quants for ResplendentAI/Aura_7B.\n\n\"Please read all the model information at the bottom of the card.\"\n\n!image/png\n\nWhat does \"Imatrix\" mean?\n\n<details><summary>\n⇲ Click here to expand/hide more information about this topic.\n</sum... | [
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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": []} | lingchensanwen/mistral-ins-generation-best-balanced | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T21:45:18+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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null | transformers | ## About
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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 Chilean Spanish Small
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-... | {"language": ["es"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["stinoco/es_clinical_assistance"], "base_model": "openai/whisper-tiny", "model-index": [{"name": "Whisper Chilean Spanish Small", "results": []}]} | stinoco/whisper-tiny-clinical-assistance | null | [
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|
# Whisper Chilean Spanish Small
This model is a fine-tuned version of openai/whisper-tiny on the stinoco/es_clinical_assistance dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proc... | [
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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": []} | lleticiasilvaa/TinyLlama-1.1B-Chat-v1.0-checkpoint-25 | null | [
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# Model Card for Model ID
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# log_sage_reward_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbe... | {"license": "apache-2.0", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "datasets": ["hdfs_rlhf_log_summary_dataset"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "log_sage_reward_model", "results": [{"task": {"type": "text-classification", "name"... | IrwinD/log_sage_reward_model | null | [
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| log\_sage\_reward\_model
========================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the hdfs\_rlhf\_log\_summary\_dataset dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4242
* Accuracy: 1.0
Model description
-----------------
More informatio... | [
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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. -->
# DS-6.7B-schema
This model is a fine-tuned version of [deepseek-ai/deepseek-coder-6.7b-instruct](https://huggingface.co/deepseek-... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "deepseek-ai/deepseek-coder-6.7b-instruct", "model-index": [{"name": "DS-6.7B-schema", "results": []}]} | jdeklerk10/DS-6.7B-schema | null | [
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| DS-6.7B-schema
==============
This model is a fine-tuned version of deepseek-ai/deepseek-coder-6.7b-instruct on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1412
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": []} | Gordon119/TAT_TD-openai-whisper-large-v2-mix-with-zh-TAT-epoch3-total5epoch | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | zzttbrdd/sn6_10m | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
Builds on the falcon 7b instruct shared model, the specific model is linked in the model description section.
Trained using this [mental health dataset](https://huggingface.co/datasets/Amod/mental_health_counseling_conversations)
... | {"license": "apache-2.0", "library_name": "transformers"} | akumar23/mental-falcon-7b | null | [
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# Model Card for Model ID
Builds on the falcon 7b instruct shared model, the specific model is linked in the model description section.
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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": []} | EdBerg/gpt-neo-2B | null | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b_ablated_model_layer_1_gate_only_healed
This model was trained from scratch on the generator dataset.
It achieves the ... | {"tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "model-index": [{"name": "mistral-7b_ablated_model_layer_1_gate_only_healed", "results": []}]} | Ffohturk/mistral-7b_ablated_model_layer_1_gate_only_healed | null | [
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| mistral-7b\_ablated\_model\_layer\_1\_gate\_only\_healed
========================================================
This model was trained from scratch on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9879
Model description
-----------------
More information needed
In... | [
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null | null |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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-finetuned-kwsylgen-64-simple_input_BARTlarge
This model is a fine-tuned version of [facebook/bart-large](https://huggingfac... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-large", "model-index": [{"name": "bart-finetuned-kwsylgen-64-simple_input_BARTlarge", "results": []}]} | adamjweintraut/bart-finetuned-kwsylgen-64-simple_input_BARTlarge | null | [
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| bart-finetuned-kwsylgen-64-simple\_input\_BARTlarge
===================================================
This model is a fine-tuned version of facebook/bart-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1785
Model description
-----------------
More information ne... | [
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text-generation | transformers |
# NeuralStockFusion-7b
# 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 merge... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Kukedlc/NeuralSirKrishna-7b", "Kukedlc/NeuralArjuna-7B-DT", "Kukedlc/NeuralMaths-Experiment-7b", "Kukedlc/NeuralSynthesis-7B-v0.1"]} | Kukedlc/NeuralStockFusion-7b | null | [
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"license:apache... | null | 2024-04-14T22:18:13+00:00 | [
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# NeuralStockFusion-7b
!image/webp
# merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the Model Stock merge method using Kukedlc/NeuralSirKrishna-7b as a base.
### Models Merged
The following models were included in the me... | [
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text-generation | transformers |
# mixtral-8x22b-instruct-oh - EXL2 7.0bpw
This is a 7.0bpw EXL2 quant of [fireworks-ai/mixtral-8x22b-instruct-oh](https://huggingface.co/fireworks-ai/mixtral-8x22b-instruct-oh)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants... | {"language": ["en"], "license": "apache-2.0", "tags": ["exl2"], "datasets": ["teknium/OpenHermes-2.5"], "base_model": "mistral-community/Mixtral-8x22B-v0.1"} | Dracones/mixtral-8x22b-instruct-oh_exl2_7.0bpw | null | [
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|
# mixtral-8x22b-instruct-oh - EXL2 7.0bpw
This is a 7.0bpw EXL2 quant of fireworks-ai/mixtral-8x22b-instruct-oh
Details about the model can be found at the above model page.
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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": []} | uday91/llama-2-7b-customer-support-llm | 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. -->
# ruBert-base-sberquad-0.001-filtered
This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.co/ai-for... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.001-filtered", "results": []}]} | Shalazary/ruBert-base-sberquad-0.001-filtered | null | [
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This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.
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More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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text-to-image | diffusers | # Tattoo World
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
[Download](/Arczisan/tattoo-world/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "UNICODE\u0000\u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000T\u0000a\u0000t\u0000t\u0000o\u0000o\u0000W\u0000o\u0000r\u0000l\u0000d\u0000:\u00001\u0000>\u0000 \u0000(\u0000T\u0000a\u0000t\u0000t\u0000o\u0000o\... | Arczisan/tattoo-world | null | [
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-runwayml/stable-diffusion-v1-5 #region-us
| # Tattoo World
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [HuggingFaceH4/zephyr-7b-beta](https://huggi... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["HuggingFaceH4/zephyr-7b-beta", "Equall/Saul-Base"]} | mergekit-community/mergekit-slerp-fodinzo | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
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The following models were included in the merge:
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* Equall/Saul-Base
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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": []} | EdBerg/quotes_Llama-2-7b-chat-hf | 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 |
# mlx-community/c4ai-command-r-plus-2bit
This model was converted to MLX format from [`CohereForAI/c4ai-command-r-plus`]() using mlx-lm version **0.9.0**.
Refer to the [original model card](https://huggingface.co/CohereForAI/c4ai-command-r-plus) for more details on the model.
## Use with mlx
```bash
pip install mlx-l... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mlx"]} | mlx-community/c4ai-command-r-plus-2bit | null | [
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|
# mlx-community/c4ai-command-r-plus-2bit
This model was converted to MLX format from ['CohereForAI/c4ai-command-r-plus']() using mlx-lm version 0.9.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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text-generation | transformers |
# mixtral-8x22b-instruct-oh - EXL2 6.0bpw
This is a 6.0bpw EXL2 quant of [fireworks-ai/mixtral-8x22b-instruct-oh](https://huggingface.co/fireworks-ai/mixtral-8x22b-instruct-oh)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants... | {"language": ["en"], "license": "apache-2.0", "tags": ["exl2"], "datasets": ["teknium/OpenHermes-2.5"], "base_model": "mistral-community/Mixtral-8x22B-v0.1"} | Dracones/mixtral-8x22b-instruct-oh_exl2_6.0bpw | null | [
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|
# mixtral-8x22b-instruct-oh - EXL2 6.0bpw
This is a 6.0bpw EXL2 quant of fireworks-ai/mixtral-8x22b-instruct-oh
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older versions of t... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Tverous/llama-13b-ppo-final | 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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- Funded by [optional]:
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zephyr-7b-sft-837k
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["Lichang-Chen/800k_ift"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "zephyr-7b-sft-837k", "results": []}]} | Lichang-Chen/zephyr-7b-sft-837k | null | [
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| zephyr-7b-sft-837k
==================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the Lichang-Chen/800k\_ift dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1087
Model description
-----------------
More information needed
Intended uses & limitations
---------... | [
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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": ["trl", "sft"]} | jhamel/rebel_fine_tune | 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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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. -->
# t5-small-finetuned-2024-03-12
This model is a fine-tuned version of [ericjiliangli/t5-small-news-summarization](https://huggingf... | {"tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "ericjiliangli/t5-small-news-summarization", "model-index": [{"name": "t5-small-finetuned-2024-03-12", "results": []}]} | liamvbetts/t5-small-finetuned-2024-03-12 | null | [
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| t5-small-finetuned-2024-03-12
=============================
This model is a fine-tuned version of ericjiliangli/t5-small-news-summarization on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7445
* Rouge1: 30.158
* Rouge2: 15.0234
* Rougel: 25.9885
* Rougelsum: 26.1101
* Gen Len... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CNEC_2_0_ext_Czert-B-base-cased
This model is a fine-tuned version of [UWB-AIR/Czert-B-base-cased](https://huggingface.co/UWB-AI... | {"tags": ["generated_from_trainer"], "datasets": ["cnec"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "UWB-AIR/Czert-B-base-cased", "model-index": [{"name": "CNEC_2_0_ext_Czert-B-base-cased", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "dataset": {"nam... | stulcrad/CNEC_2_0_ext_Czert-B-base-cased | null | [
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| CNEC\_2\_0\_ext\_Czert-B-base-cased
===================================
This model is a fine-tuned version of UWB-AIR/Czert-B-base-cased on the cnec dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2280
* Precision: 0.8360
* Recall: 0.8675
* F1: 0.8514
* Accuracy: 0.9643
Model descripti... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | MaiiaCompsolutions/industry_classifier_full_descr_3rd_level | 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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- License... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bioGPT_finetuned_ncbi
This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on an un... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/biogpt", "model-index": [{"name": "bioGPT_finetuned_ncbi", "results": []}]} | nik548/bioGPT_finetuned_ncbi | null | [
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"safetensors",
"gpt2",
"token-classification",
"generated_from_trainer",
"base_model:microsoft/biogpt",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T22:51:17+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #token-classification #generated_from_trainer #base_model-microsoft/biogpt #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| bioGPT\_finetuned\_ncbi
=======================
This model is a fine-tuned version of microsoft/biogpt on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1880
* Precision: 0.4637
* Recall: 0.5448
* F1: 0.5010
* Accuracy: 0.9476
Model description
-----------------
More info... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Training... | [
"TAGS\n#transformers #tensorboard #safetensors #gpt2 #token-classification #generated_from_trainer #base_model-microsoft/biogpt #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during trai... | [
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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. -->
# t5-small-finetuned-2024-03-13
This model is a fine-tuned version of [liamvbetts/t5-small-finetuned-2024-03-12](https://huggingfa... | {"tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "liamvbetts/t5-small-finetuned-2024-03-12", "model-index": [{"name": "t5-small-finetuned-2024-03-13", "results": []}]} | liamvbetts/t5-small-finetuned-2024-03-13 | null | [
"transformers",
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"t5",
"text2text-generation",
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"base_model:liamvbetts/t5-small-finetuned-2024-03-12",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T22:52:17+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-liamvbetts/t5-small-finetuned-2024-03-12 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| t5-small-finetuned-2024-03-13
=============================
This model is a fine-tuned version of liamvbetts/t5-small-finetuned-2024-03-12 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8462
* Rouge1: 30.3334
* Rouge2: 17.8246
* Rougel: 26.5826
* Rougelsum: 27.0835
* Gen Len... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 4e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1\n* mixed\\_precis... | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-liamvbetts/t5-small-finetuned-2024-03-12 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used du... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | cilantro9246/whfwbmi | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T22:53:04+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-small-finetuned-2024-03-14
This model is a fine-tuned version of [liamvbetts/t5-small-finetuned-2024-03-13](https://huggingfa... | {"tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "liamvbetts/t5-small-finetuned-2024-03-13", "model-index": [{"name": "t5-small-finetuned-2024-03-14", "results": []}]} | liamvbetts/t5-small-finetuned-2024-03-14 | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
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"generated_from_trainer",
"base_model:liamvbetts/t5-small-finetuned-2024-03-13",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T22:55:26+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-liamvbetts/t5-small-finetuned-2024-03-13 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| t5-small-finetuned-2024-03-14
=============================
This model is a fine-tuned version of liamvbetts/t5-small-finetuned-2024-03-13 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6488
* Rouge1: 36.7711
* Rouge2: 23.7969
* Rougel: 33.074
* Rougelsum: 33.6007
* Gen Len:... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 4e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1\n* mixed\\_precis... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used du... | [
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text-generation | transformers |
# mixtral-8x22b-instruct-oh - EXL2 5.5bpw
This is a 5.5bpw EXL2 quant of [fireworks-ai/mixtral-8x22b-instruct-oh](https://huggingface.co/fireworks-ai/mixtral-8x22b-instruct-oh)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants... | {"language": ["en"], "license": "apache-2.0", "tags": ["exl2"], "datasets": ["teknium/OpenHermes-2.5"], "base_model": "mistral-community/Mixtral-8x22B-v0.1"} | Dracones/mixtral-8x22b-instruct-oh_exl2_5.5bpw | null | [
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"safetensors",
"mixtral",
"text-generation",
"exl2",
"conversational",
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"dataset:teknium/OpenHermes-2.5",
"base_model:mistral-community/Mixtral-8x22B-v0.1",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T22:55:29+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mixtral #text-generation #exl2 #conversational #en #dataset-teknium/OpenHermes-2.5 #base_model-mistral-community/Mixtral-8x22B-v0.1 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# mixtral-8x22b-instruct-oh - EXL2 5.5bpw
This is a 5.5bpw EXL2 quant of fireworks-ai/mixtral-8x22b-instruct-oh
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older versions of t... | [
"# mixtral-8x22b-instruct-oh - EXL2 5.5bpw\n\nThis is a 5.5bpw EXL2 quant of fireworks-ai/mixtral-8x22b-instruct-oh\n\nDetails about the model can be found at the above model page.",
"## EXL2 Version\n\nThese quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older... | [
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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. -->
# t5-small-finetuned-2024-03-15
This model is a fine-tuned version of [liamvbetts/t5-small-finetuned-2024-03-14](https://huggingfa... | {"tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "liamvbetts/t5-small-finetuned-2024-03-14", "model-index": [{"name": "t5-small-finetuned-2024-03-15", "results": []}]} | liamvbetts/t5-small-finetuned-2024-03-15 | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T22:57:58+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-liamvbetts/t5-small-finetuned-2024-03-14 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| t5-small-finetuned-2024-03-15
=============================
This model is a fine-tuned version of liamvbetts/t5-small-finetuned-2024-03-14 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5180
* Rouge1: 42.6379
* Rouge2: 30.7892
* Rougel: 39.2984
* Rougelsum: 39.671
* Gen Len:... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 4e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1\n* mixed\\_precis... | [
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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. -->
# t5-small-finetuned-2024-03-16
This model is a fine-tuned version of [liamvbetts/t5-small-finetuned-2024-03-15](https://huggingfa... | {"tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "liamvbetts/t5-small-finetuned-2024-03-15", "model-index": [{"name": "t5-small-finetuned-2024-03-16", "results": []}]} | liamvbetts/t5-small-finetuned-2024-03-16 | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T23:00:27+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-liamvbetts/t5-small-finetuned-2024-03-15 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| t5-small-finetuned-2024-03-16
=============================
This model is a fine-tuned version of liamvbetts/t5-small-finetuned-2024-03-15 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9081
* Rouge1: 32.2806
* Rouge2: 18.3465
* Rougel: 27.9985
* Rougelsum: 28.4829
* Gen Len... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 4e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1\n* mixed\\_precis... | [
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text-generation | transformers |
Like the name says:
command-r-plus 6.0bpw h8 exl2
I have some trouble getting it to break free from it's rigid pre-trained json/function-calling format.
YMMV | {"license": "apache-2.0"} | bdambrosio/command-r-plus-6.0bpw-h8-exl2 | null | [
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"safetensors",
"cohere",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"6-bit",
"region:us"
] | null | 2024-04-14T23:01:20+00:00 | [] | [] | TAGS
#transformers #safetensors #cohere #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #6-bit #region-us
|
Like the name says:
command-r-plus 6.0bpw h8 exl2
I have some trouble getting it to break free from it's rigid pre-trained json/function-calling format.
YMMV | [] | [
"TAGS\n#transformers #safetensors #cohere #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #6-bit #region-us \n"
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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. -->
# t5-small-finetuned-2024-03-17
This model is a fine-tuned version of [liamvbetts/t5-small-finetuned-2024-03-16](https://huggingfa... | {"tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "liamvbetts/t5-small-finetuned-2024-03-16", "model-index": [{"name": "t5-small-finetuned-2024-03-17", "results": []}]} | liamvbetts/t5-small-finetuned-2024-03-17 | null | [
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"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:liamvbetts/t5-small-finetuned-2024-03-16",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T23:02:49+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-liamvbetts/t5-small-finetuned-2024-03-16 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| t5-small-finetuned-2024-03-17
=============================
This model is a fine-tuned version of liamvbetts/t5-small-finetuned-2024-03-16 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6870
* Rouge1: 36.9896
* Rouge2: 24.6597
* Rougel: 32.6752
* Rougelsum: 32.6582
* Gen Len... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 4e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1\n* mixed\\_precis... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used du... | [
70,
112,
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44
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"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-liamvbetts/t5-small-finetuned-2024-03-16 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during t... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/uncensorie/stairolz-70b
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/stairolz-70b-i1-G... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "base_model": "uncensorie/stairolz-70b", "quantized_by": "mradermacher"} | mradermacher/stairolz-70b-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:uncensorie/stairolz-70b",
"license:llama2",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T23:03:23+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-uncensorie/stairolz-70b #license-llama2 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #en #base_model-uncensorie/stairolz-70b #license-llama2 #endpoints_compatible #region-us \n"
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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. -->
# t5-small-finetuned-2024-03-18
This model is a fine-tuned version of [liamvbetts/t5-small-finetuned-2024-03-17](https://huggingfa... | {"tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "liamvbetts/t5-small-finetuned-2024-03-17", "model-index": [{"name": "t5-small-finetuned-2024-03-18", "results": []}]} | liamvbetts/t5-small-finetuned-2024-03-18 | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:liamvbetts/t5-small-finetuned-2024-03-17",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T23:06:29+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-liamvbetts/t5-small-finetuned-2024-03-17 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| t5-small-finetuned-2024-03-18
=============================
This model is a fine-tuned version of liamvbetts/t5-small-finetuned-2024-03-17 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3412
* Rouge1: 42.2216
* Rouge2: 30.5944
* Rougel: 39.273
* Rougelsum: 39.1457
* Gen Len:... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 4e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1\n* mixed\\_precis... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ajibawa-2023/scarlett-33b
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/scarlett-33b-i1... | {"language": ["en"], "license": "cc-by-nc-nd-4.0", "library_name": "transformers", "base_model": "ajibawa-2023/scarlett-33b", "quantized_by": "mradermacher"} | mradermacher/scarlett-33b-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:ajibawa-2023/scarlett-33b",
"license:cc-by-nc-nd-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T23:09:06+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-ajibawa-2023/scarlett-33b #license-cc-by-nc-nd-4.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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] | [
49
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"TAGS\n#transformers #gguf #en #base_model-ajibawa-2023/scarlett-33b #license-cc-by-nc-nd-4.0 #endpoints_compatible #region-us \n"
] |
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. -->
# t5-small-finetuned-2024-03-19
This model is a fine-tuned version of [liamvbetts/t5-small-finetuned-2024-03-18](https://huggingfa... | {"tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "liamvbetts/t5-small-finetuned-2024-03-18", "model-index": [{"name": "t5-small-finetuned-2024-03-19", "results": []}]} | liamvbetts/t5-small-finetuned-2024-03-19 | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:liamvbetts/t5-small-finetuned-2024-03-18",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T23:09:21+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-liamvbetts/t5-small-finetuned-2024-03-18 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| t5-small-finetuned-2024-03-19
=============================
This model is a fine-tuned version of liamvbetts/t5-small-finetuned-2024-03-18 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7824
* Rouge1: 34.996
* Rouge2: 23.0601
* Rougel: 32.7854
* Rougelsum: 33.1113
* Gen Len:... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 4e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1\n* mixed\\_precis... | [
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text-generation | transformers | # aranea-tenebris-120b-v1.0
**aka Netrve/Miqu-PlayMaid-70B-v0.1 + ShinojiResearch/Senku-70B**
Model merge for uncensored creative writing and rp
A [mergekit](https://github.com/arcee-ai/mergekit) frankenmerg... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["not-for-all-audiences", "nsfw", "mergekit", "merge"], "base_model": ["Netrve/Miqu-PlayMaid-70B-v0.1", "ShinojiResearch/Senku-70B"]} | divinetaco/aranea-tenebris-120b-v1.0 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"not-for-all-audiences",
"nsfw",
"mergekit",
"merge",
"conversational",
"base_model:Netrve/Miqu-PlayMaid-70B-v0.1",
"base_model:ShinojiResearch/Senku-70B",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"... | null | 2024-04-14T23:09:25+00:00 | [] | [] | TAGS
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| # aranea-tenebris-120b-v1.0
aka Netrve/Miqu-PlayMaid-70B-v0.1 + ShinojiResearch/Senku-70B
Model merge for uncensored creative writing and rp
!image/png
A mergekit frankenmerge based on Netrve/Miqu-PlayMaid-70B-v0.1 with interleaved layers of ShinojiResearch/Senku-70B.
This was the top performing model from a se... | [
"# aranea-tenebris-120b-v1.0\naka Netrve/Miqu-PlayMaid-70B-v0.1 + ShinojiResearch/Senku-70B \nModel merge for uncensored creative writing and rp \n\n!image/png\n\nA mergekit frankenmerge based on Netrve/Miqu-PlayMaid-70B-v0.1 with interleaved layers of ShinojiResearch/Senku-70B. \nThis was the top performing mod... | [
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text-generation | transformers |
# mixtral-8x22b-instruct-oh - EXL2 5.0bpw
This is a 5.0bpw EXL2 quant of [fireworks-ai/mixtral-8x22b-instruct-oh](https://huggingface.co/fireworks-ai/mixtral-8x22b-instruct-oh)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants... | {"language": ["en"], "license": "apache-2.0", "tags": ["exl2"], "datasets": ["teknium/OpenHermes-2.5"], "base_model": "mistral-community/Mixtral-8x22B-v0.1"} | Dracones/mixtral-8x22b-instruct-oh_exl2_5.0bpw | null | [
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"safetensors",
"mixtral",
"text-generation",
"exl2",
"conversational",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"5-bit",
"r... | null | 2024-04-14T23:10:45+00:00 | [] | [
"en"
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|
# mixtral-8x22b-instruct-oh - EXL2 5.0bpw
This is a 5.0bpw EXL2 quant of fireworks-ai/mixtral-8x22b-instruct-oh
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older versions of t... | [
"# mixtral-8x22b-instruct-oh - EXL2 5.0bpw\n\nThis is a 5.0bpw EXL2 quant of fireworks-ai/mixtral-8x22b-instruct-oh\n\nDetails about the model can be found at the above model page.",
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.9300565719604492
f1_macro: 0.8222222222222223
f1_micro: 0.8333333333333334
f1_weighted: 0.8222222222222223
precision_macro: 0.8888888888888888
precision_micro: 0.8333333333333334
precision_weighted: 0.888888888888... | {"tags": ["autotrain", "text-classification"], "datasets": ["autotrain-4hkjv-ypex0/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | Aveo/autotrain-4hkjv-ypex0 | null | [
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"text-classification",
"autotrain",
"dataset:autotrain-4hkjv-ypex0/autotrain-data",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T23:13:15+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #text-classification #autotrain #dataset-autotrain-4hkjv-ypex0/autotrain-data #autotrain_compatible #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.9300565719604492
f1_macro: 0.8222222222222223
f1_micro: 0.8333333333333334
f1_weighted: 0.8222222222222223
precision_macro: 0.8888888888888888
precision_micro: 0.8333333333333334
precision_weighted: 0.888888888888... | [
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reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sa... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "doom_health_gathering_supreme", "type": "doom_health_ga... | hui168/rl_course_vizdoom_health_gathering_supreme | null | [
"sample-factory",
"tensorboard",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-14T23:13:29+00:00 | [] | [] | TAGS
#sample-factory #tensorboard #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
A(n) APPO model trained on the doom_health_gathering_supreme environment.
This model was trained using Sample-Factory 2.0: URL
Documentation for how to use Sample-Factory can be found at URL
## Downloading the model
After installing Sample-Factory, download the model with:
## Using the model
To run the mod... | [
"## Downloading the model\n\nAfter installing Sample-Factory, download the model with:",
"## Using the model\n\nTo run the model after download, use the 'enjoy' script corresponding to this environment:\n\n\n\nYou can also upload models to the Hugging Face Hub using the same script with the '--push_to_hub' flag.\... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Kukedlc/NeuralStockFusion-7b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sho... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "Kukedlc/NeuralStockFusion-7b", "quantized_by": "mradermacher"} | mradermacher/NeuralStockFusion-7b-GGUF | null | [
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"gguf",
"mergekit",
"merge",
"en",
"base_model:Kukedlc/NeuralStockFusion-7b",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
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"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-Kukedlc/NeuralStockFusion-7b #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-classification | transformers |
# Model Summary
This is a fact-checking model from our work:
📃 [**MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents**](https://arxiv.org/pdf/2404.10774.pdf) ([GitHub Repo](https://github.com/Liyan06/MiniCheck))
The model is based on Flan-T5-Large that predicts a binary label - 1 for supported and 0... | {"language": ["en"], "pipeline_tag": "text-classification"} | lytang/MiniCheck-Flan-T5-Large | null | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"text-classification",
"en",
"arxiv:2404.10774",
"arxiv:2210.11416",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T23:16:22+00:00 | [
"2404.10774",
"2210.11416"
] | [
"en"
] | TAGS
#transformers #pytorch #t5 #text2text-generation #text-classification #en #arxiv-2404.10774 #arxiv-2210.11416 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Summary
This is a fact-checking model from our work:
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents (GitHub Repo)
The model is based on Flan-T5-Large that predicts a binary label - 1 for supported and 0 for unsupported.
The model is doing predictions on the *sentence-level*. It takes as... | [
"# Model Summary\n\nThis is a fact-checking model from our work:\n\n MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents (GitHub Repo)\n\nThe model is based on Flan-T5-Large that predicts a binary label - 1 for supported and 0 for unsupported. \nThe model is doing predictions on the *sentence-level*. ... | [
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text-generation | null |
## Exllama v2 Quantizations of OpenCerebrum-2.0-7B
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.18">turboderp's ExLlamaV2 v0.0.18</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branch con... | {"language": ["en"], "license": "apache-2.0", "tags": ["open-source", "code", "math", "chemistry", "biology", "text-generation", "question-answering"], "pipeline_tag": "text-generation", "quantized_by": "bartowski"} | bartowski/OpenCerebrum-2.0-7B-exl2 | null | [
"open-source",
"code",
"math",
"chemistry",
"biology",
"text-generation",
"question-answering",
"en",
"license:apache-2.0",
"region:us"
] | null | 2024-04-14T23:20:20+00:00 | [] | [
"en"
] | TAGS
#open-source #code #math #chemistry #biology #text-generation #question-answering #en #license-apache-2.0 #region-us
| Exllama v2 Quantizations of OpenCerebrum-2.0-7B
-----------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.18 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
Each branch contains an individual bits per weight, with ... | [] | [
"TAGS\n#open-source #code #math #chemistry #biology #text-generation #question-answering #en #license-apache-2.0 #region-us \n"
] | [
35
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"TAGS\n#open-source #code #math #chemistry #biology #text-generation #question-answering #en #license-apache-2.0 #region-us \n"
] |
text-generation | transformers |
# Uploaded model
- **Developed by:** cackerman
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-it-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-it-bnb-4bit"} | cackerman/rewrites_gem7unsloth_4bit_ft_full_merged | null | [
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# Uploaded model
- Developed by: cackerman
- License: apache-2.0
- Finetuned from model : unsloth/gemma-7b-it-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Sao10K/Euryale-Inverted-L2-70B
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/Euryale-In... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "base_model": "Sao10K/Euryale-Inverted-L2-70B", "quantized_by": "mradermacher"} | mradermacher/Euryale-Inverted-L2-70B-GGUF | null | [
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static quants of URL
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Provided Quants
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text-classification | transformers | # Model Summary
This is a fact-checking model from our work:
📃 [**MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents**](https://arxiv.org/pdf/2404.10774.pdf) ([GitHub Repo](https://github.com/Liyan06/MiniCheck))
The model is based on DeBERTa-v3-Large that predicts a binary label - 1 for supported and... | {"language": ["en"], "pipeline_tag": "text-classification"} | lytang/MiniCheck-DeBERTa-v3-Large | null | [
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| # Model Summary
This is a fact-checking model from our work:
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents (GitHub Repo)
The model is based on DeBERTa-v3-Large that predicts a binary label - 1 for supported and 0 for unsupported.
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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": []} | EdBerg/quotes_Llama-2-13b-chat-hf | null | [
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# Model Card for Model ID
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### 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 | ## About
<!-- ### quantize_version: 1 -->
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<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/uncensorie/stairolzlv-70b
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/stairolzlv-70b-... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "base_model": "uncensorie/stairolzlv-70b", "quantized_by": "mradermacher"} | mradermacher/stairolzlv-70b-GGUF | null | [
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static quants of URL
weighted/imatrix quants are available at URL
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If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
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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. -->
# tinyllama-sft-wizardlm_evol_instruct_v2-full
This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["ucla-cmllab/WizardLM_evol_instruct_V2_100k-chat-format"], "base_model": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T", "model-index": [{"name": "tinyllama-sft-w... | andrewbai/tinyllama-sft-wizardlm_evol_instruct_v2-full | null | [
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===============================================
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T on the ucla-cmllab/WizardLM\_evol\_instruct\_V2\_100k-chat-format dataset.
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... | [
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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. -->
# t5-small-finetuned-2024-03-20
This model is a fine-tuned version of [liamvbetts/t5-small-finetuned-2024-03-19](https://huggingfa... | {"tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "liamvbetts/t5-small-finetuned-2024-03-19", "model-index": [{"name": "t5-small-finetuned-2024-03-20", "results": []}]} | liamvbetts/t5-small-finetuned-2024-03-20 | null | [
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| t5-small-finetuned-2024-03-20
=============================
This model is a fine-tuned version of liamvbetts/t5-small-finetuned-2024-03-19 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9234
* Rouge1: 29.6968
* Rouge2: 15.5967
* Rougel: 25.7424
* Rougelsum: 25.9564
* Gen Len... | [
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text-generation | transformers |
# Model Card for Model ID
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
MoM: Mixture of Mixture
This Model is a first test to combine [Jamba](https://huggingface.co/ai21labs/Jamba-v0.1) architecture with bf16 bits linear layers, mixture of attention head and mixtu... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "moah", "mod"], "datasets": ["Locutusque/UltraTextbooks"]} | Ostixe360/MoMv3-bf16 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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text-generation | transformers |
# mixtral-8x22b-instruct-oh - EXL2 4.5bpw
This is a 4.5bpw EXL2 quant of [fireworks-ai/mixtral-8x22b-instruct-oh](https://huggingface.co/fireworks-ai/mixtral-8x22b-instruct-oh)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants... | {"language": ["en"], "license": "apache-2.0", "tags": ["exl2"], "datasets": ["teknium/OpenHermes-2.5"], "base_model": "mistral-community/Mixtral-8x22B-v0.1"} | Dracones/mixtral-8x22b-instruct-oh_exl2_4.5bpw | null | [
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|
# mixtral-8x22b-instruct-oh - EXL2 4.5bpw
This is a 4.5bpw EXL2 quant of fireworks-ai/mixtral-8x22b-instruct-oh
Details about the model can be found at the above model page.
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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": []} | relu-ntnu/bart-large-cnn_v1_trained_on_100 | null | [
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## 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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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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5
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"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
text-generation | transformers |
QLoRA fine-tune of [Mixtral-8x22B-v0.1](https://huggingface.co/mistral-community/Mixtral-8x22B-v0.1) on a combination of the Capybara and Airoboros datasets.
Uses Mistral instruct formatting, like this:
[INST] Describe quantum computing to a layperson. [/INST]
Model details:
- Trained with QLoRA, on 4 4090s, using m... | {"license": "apache-2.0", "datasets": ["ssmi153/Capybara-ShareGPT", "jondurbin/airoboros-3.2"]} | tdrussell/Mixtral-8x22B-Capyboros-v1 | null | [
"transformers",
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"mixtral",
"text-generation",
"dataset:ssmi153/Capybara-ShareGPT",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T23:34:41+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #dataset-ssmi153/Capybara-ShareGPT #dataset-jondurbin/airoboros-3.2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
QLoRA fine-tune of Mixtral-8x22B-v0.1 on a combination of the Capybara and Airoboros datasets.
Uses Mistral instruct formatting, like this:
[INST] Describe quantum computing to a layperson. [/INST]
Model details:
- Trained with QLoRA, on 4 4090s, using my own qlora-pipe training script
- LoRA rank 64
- 4096 sequence... | [] | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #dataset-ssmi153/Capybara-ShareGPT #dataset-jondurbin/airoboros-3.2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] | [
74
] | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #dataset-ssmi153/Capybara-ShareGPT #dataset-jondurbin/airoboros-3.2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] |
null | diffusers |
# Terminus XL - Gamma (v2 preview)
This is an in-progress checkpoint of [the "Gamma" model](/ptx0/terminus-xl-gamma-v1) from the Terminus XL series.
It's updated randomly for evaluation as progress rolls on. | {"license": "openrail++"} | ptx0/terminus-xl-velocity-v2 | null | [
"diffusers",
"safetensors",
"license:openrail++",
"region:us"
] | null | 2024-04-14T23:35:06+00:00 | [] | [] | TAGS
#diffusers #safetensors #license-openrail++ #region-us
|
# Terminus XL - Gamma (v2 preview)
This is an in-progress checkpoint of the "Gamma" model from the Terminus XL series.
It's updated randomly for evaluation as progress rolls on. | [
"# Terminus XL - Gamma (v2 preview)\n\nThis is an in-progress checkpoint of the \"Gamma\" model from the Terminus XL series.\n\nIt's updated randomly for evaluation as progress rolls on."
] | [
"TAGS\n#diffusers #safetensors #license-openrail++ #region-us \n",
"# Terminus XL - Gamma (v2 preview)\n\nThis is an in-progress checkpoint of the \"Gamma\" model from the Terminus XL series.\n\nIt's updated randomly for evaluation as progress rolls on."
] | [
19,
41
] | [
"TAGS\n#diffusers #safetensors #license-openrail++ #region-us \n# Terminus XL - Gamma (v2 preview)\n\nThis is an in-progress checkpoint of the \"Gamma\" model from the Terminus XL series.\n\nIt's updated randomly for evaluation as progress rolls on."
] |
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