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text-generation | transformers |
# Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
We have a Google Colab Tesla T4 notebook for CodeGemma 7b here: https://colab.research.google.com/drive/19lwcRk_ZQ_ZtX-qzFP3qZBBHZNcMD1hh?usp=sharing
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord%20but... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["unsloth", "transformers", "gemma", "bnb"]} | unsloth/codegemma-7b-bnb-4bit | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"unsloth",
"bnb",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
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"4-bit",
"region:us"
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"en"
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#transformers #safetensors #gemma #text-generation #unsloth #bnb #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
============================================================================
We have a Google Colab Tesla T4 notebook for CodeGemma 7b here: URL
<img src="URL width="200"/>
<img src="URL width="200"/>
<img src="URL width="200"/>
Finetune... | [] | [
"TAGS\n#transformers #safetensors #gemma #text-generation #unsloth #bnb #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n"
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] |
sentence-similarity | sentence-transformers |
# tomaarsen/distilroberta-base-nli-gist
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
Some post-training logs:
```
2024-04-09 15:33:55 - EmbeddingSimilarityEvaluator:... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | tomaarsen/distilroberta-base-nli-gist | null | [
"sentence-transformers",
"safetensors",
"roberta",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T13:33:56+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #roberta #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# tomaarsen/distilroberta-base-nli-gist
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
Some post-training logs:
The 'Cosine-Similarity', 'Spearman' scores are most important.
## Usage (Se... | [
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text-generation | transformers |
# NeuralsirkrishnaShadow_AlloyingotneoyInex12
NeuralsirkrishnaShadow_AlloyingotneoyInex12 is a merge of the following models:
* [automerger/NeuralsirkrishnaShadow-7B](https://huggingface.co/automerger/NeuralsirkrishnaShadow-7B)
* [automerger/AlloyingotneoyInex12-7B](https://huggingface.co/automerger/AlloyingotneoyIne... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "NeuralsirkrishnaShadow_AlloyingotneoyInex12", "base_model": ["automerger/NeuralsirkrishnaShadow-7B", "automerger/AlloyingotneoyInex12-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-... | MaziyarPanahi/NeuralsirkrishnaShadow_AlloyingotneoyInex12 | null | [
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"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
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"base_model:automerger/AlloyingotneoyInex12-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T13:35:32+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/NeuralsirkrishnaShadow-7B #base_model-automerger/AlloyingotneoyInex12-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# NeuralsirkrishnaShadow_AlloyingotneoyInex12
NeuralsirkrishnaShadow_AlloyingotneoyInex12 is a merge of the following models:
* automerger/NeuralsirkrishnaShadow-7B
* automerger/AlloyingotneoyInex12-7B
## Usage
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null | null | # pet-shop32_9062874564
## Model Description
pet-shop32_9062874564 is a fine-tuned version of jina-embeddings-v2-base-en designed for a specific domain.
## Use Case
This model is designed to support various applications in natural language processing and understanding.
## Associated Dataset
This the dataset for th... | {} | florianhoenicke/pet-shop32_9062874564 | null | [
"region:us"
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#region-us
| # pet-shop32_9062874564
## Model Description
pet-shop32_9062874564 is a fine-tuned version of jina-embeddings-v2-base-en designed for a specific domain.
## Use Case
This model is designed to support various applications in natural language processing and understanding.
## Associated Dataset
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text-generation | transformers |
# M7Yamshadowexperiment28_Experiment29Experiment24
M7Yamshadowexperiment28_Experiment29Experiment24 is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/Experiment29Experiment24-7B](https://huggingface.co/automerger/E... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_Experiment29Experiment24", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/Experiment29Experiment24-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_ta... | MaziyarPanahi/M7Yamshadowexperiment28_Experiment29Experiment24 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/M7Yamshadowexperiment28-7B",
"base_model:automerger/Experiment29Experiment24-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T13:39:55+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/M7Yamshadowexperiment28-7B #base_model-automerger/Experiment29Experiment24-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# M7Yamshadowexperiment28_Experiment29Experiment24
M7Yamshadowexperiment28_Experiment29Experiment24 is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/Experiment29Experiment24-7B
## Usage
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"## Usage"
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text-generation | transformers |
# YamshadowStrangemerges_32_Experiment24Inex12
YamshadowStrangemerges_32_Experiment24Inex12 is a merge of the following models:
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
* [automerger/Experiment24Inex12-7B](https://huggingface.co/automerger/Experiment2... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowStrangemerges_32_Experiment24Inex12", "base_model": ["automerger/YamshadowStrangemerges_32-7B", "automerger/Experiment24Inex12-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "tex... | MaziyarPanahi/YamshadowStrangemerges_32_Experiment24Inex12 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/YamshadowStrangemerges_32-7B",
"base_model:automerger/Experiment24Inex12-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T13:40:18+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowStrangemerges_32-7B #base_model-automerger/Experiment24Inex12-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowStrangemerges_32_Experiment24Inex12
YamshadowStrangemerges_32_Experiment24Inex12 is a merge of the following models:
* automerger/YamshadowStrangemerges_32-7B
* automerger/Experiment24Inex12-7B
## Usage
| [
"# YamshadowStrangemerges_32_Experiment24Inex12\n\nYamshadowStrangemerges_32_Experiment24Inex12 is a merge of the following models:\n* automerger/YamshadowStrangemerges_32-7B\n* automerger/Experiment24Inex12-7B",
"## Usage"
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text-generation | transformers |
# Experiment28M7_Strangemerges_32Alloyingotneoy
Experiment28M7_Strangemerges_32Alloyingotneoy is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/Strangemerges_32Alloyingotneoy-7B](https://huggingface.co/automerger/Strangemerges_32All... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_Strangemerges_32Alloyingotneoy", "base_model": ["automerger/Experiment28M7-7B", "automerger/Strangemerges_32Alloyingotneoy-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "t... | MaziyarPanahi/Experiment28M7_Strangemerges_32Alloyingotneoy | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/Experiment28M7-7B",
"base_model:automerger/Strangemerges_32Alloyingotneoy-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T13:40:27+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28M7-7B #base_model-automerger/Strangemerges_32Alloyingotneoy-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28M7_Strangemerges_32Alloyingotneoy
Experiment28M7_Strangemerges_32Alloyingotneoy is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/Strangemerges_32Alloyingotneoy-7B
## Usage
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"## Usage"
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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. -->
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "finetuning-sentiment-model-3000-samples", "results": []}]} | Kyojuro/finetuning-sentiment-model-3000-samples | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T13:41:38+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3357
- Accuracy: 0.8833
- F1: 0.8875
## Model description
More information needed
## Intended uses & limitations
More ... | [
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"## Intended uses & ... | [
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feature-extraction | transformers | # pet-shop32-per-device-4_9062874564
## Model Description
pet-shop32-per-device-4_9062874564 is a fine-tuned version of jina-embeddings-v2-base-en designed for a specific domain.
## Use Case
This model is designed to support various applications in natural language processing and understanding.
## Associated Datase... | {} | florianhoenicke/pet-shop32-per-device-4_9062874564 | null | [
"transformers",
"safetensors",
"bert",
"feature-extraction",
"custom_code",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T13:42:28+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #feature-extraction #custom_code #endpoints_compatible #region-us
| # pet-shop32-per-device-4_9062874564
## Model Description
pet-shop32-per-device-4_9062874564 is a fine-tuned version of jina-embeddings-v2-base-en designed for a specific domain.
## Use Case
This model is designed to support various applications in natural language processing and understanding.
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text-generation | transformers |
# MeliodasPercival_01_Ognoexperiment27M7
MeliodasPercival_01_Ognoexperiment27M7 is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/Ognoexperiment27M7-7B](https://huggingface.co/automerger/Ognoexperiment27M7-7B)
## 💻 Usag... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_Ognoexperiment27M7", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/Ognoexperiment27M7-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation... | MaziyarPanahi/MeliodasPercival_01_Ognoexperiment27M7 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/MeliodasPercival_01-7B",
"base_model:automerger/Ognoexperiment27M7-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T13:43:31+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/Ognoexperiment27M7-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# MeliodasPercival_01_Ognoexperiment27M7
MeliodasPercival_01_Ognoexperiment27M7 is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/Ognoexperiment27M7-7B
## Usage
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text-generation | transformers |
# Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
We have a Google Colab Tesla T4 notebook for CodeGemma 7b here: https://colab.research.google.com/drive/19lwcRk_ZQ_ZtX-qzFP3qZBBHZNcMD1hh?usp=sharing
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord%20but... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["unsloth", "transformers", "gemma", "bnb"]} | unsloth/codegemma-7b-it-bnb-4bit | null | [
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"4-bit",
"region:us"
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#transformers #safetensors #gemma #text-generation #unsloth #bnb #conversational #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
============================================================================
We have a Google Colab Tesla T4 notebook for CodeGemma 7b here: URL
<img src="URL width="200"/>
<img src="URL width="200"/>
<img src="URL width="200"/>
Finetune... | [] | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/ParasiticRogue/Merged-Vicuna-RP-Stew-34B
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["merge", "roleplay", "not-for-all-audiences"], "base_model": "ParasiticRogue/Merged-Vicuna-RP-Stew-34B", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE", "license_name": "yi-34b", "quantized_by": "mradermacher... | mradermacher/Merged-Vicuna-RP-Stew-34B-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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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:
* [Equall/Saul-Base](https://huggingface.co/Eq... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Equall/Saul-Base", "mistralai/Mistral-7B-Instruct-v0.2"]} | mergekit-community/mergekit-slerp-uwupwsk | null | [
"transformers",
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"mistral",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:Equall/Saul-Base",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T13:45:12+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:
* Equall/Saul-Base
* mistralai/Mistral-7B-Instruct-v0.2
### Configuration
The fol... | [
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null | null |
# Download the llamafile
- Download the llamafile from https://huggingface.co/avilum/llamafile-python-openai-template/blob/main/TinyLlama-1.1B.llamafile
- Use the download button.
# Run the server
```shell
chmod +x TinyLlama-1.1B.llamafile
./TinyLlama-1.1B.llamafile --server --host 0.0.0.0 --port 1234
```
# Use ... | {"license": "apache-2.0"} | avilum/llamafile-python-openai-template | null | [
"llamafile",
"license:apache-2.0",
"region:us"
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#llamafile #license-apache-2.0 #region-us
|
# Download the llamafile
- Download the llamafile from URL
- Use the download button.
# Run the server
# Use the LLM with OpenAI SDK:
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text-generation | transformers |
# Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
We have a Google Colab Tesla T4 notebook for CodeGemma 7b here: https://colab.research.google.com/drive/19lwcRk_ZQ_ZtX-qzFP3qZBBHZNcMD1hh?usp=sharing
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord%20but... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["unsloth", "transformers", "gemma", "bnb"]} | unsloth/codegemma-7b-it | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
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"bnb",
"conversational",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T13:50:42+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #gemma #text-generation #unsloth #bnb #conversational #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
============================================================================
We have a Google Colab Tesla T4 notebook for CodeGemma 7b here: URL
<img src="URL width="200"/>
<img src="URL width="200"/>
<img src="URL width="200"/>
Finetune... | [] | [
"TAGS\n#transformers #safetensors #gemma #text-generation #unsloth #bnb #conversational #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
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] |
text-generation | transformers |
# YamshadowInex12_YamM7
YamshadowInex12_YamM7 is a merge of the following models:
* [automerger/YamshadowInex12-7B](https://huggingface.co/automerger/YamshadowInex12-7B)
* [automerger/YamM7-7B](https://huggingface.co/automerger/YamM7-7B)
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transfo... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowInex12_YamM7", "base_model": ["automerger/YamshadowInex12-7B", "automerger/YamM7-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_by": "MaziyarPanahi"... | MaziyarPanahi/YamshadowInex12_YamM7 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
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"base_model:automerger/YamM7-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T13:50:59+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowInex12-7B #base_model-automerger/YamM7-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowInex12_YamM7
YamshadowInex12_YamM7 is a merge of the following models:
* automerger/YamshadowInex12-7B
* automerger/YamM7-7B
## Usage
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unconditional-image-generation | diffusers |
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('Alorel/0409-sd-class-butter... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | Alorel/0409-sd-class-butterflies-32 | null | [
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"safetensors",
"pytorch",
"unconditional-image-generation",
"diffusion-models-class",
"license:mit",
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] | null | 2024-04-09T13:51:19+00:00 | [] | [] | TAGS
#diffusers #safetensors #pytorch #unconditional-image-generation #diffusion-models-class #license-mit #diffusers-DDPMPipeline #region-us
|
# Model Card for Unit 1 of the Diffusion Models Class
This model is a diffusion model for unconditional image generation of cute .
## Usage
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text-generation | transformers |
# Model Card for Model ID
This model was trained to choose between RAG and COT techniques for especific domain chat aplications. Depending on users questions, the model may choose what is the best way to generate the response.
- Sometimes, questions are domain specific and can be answered by performing a simple RAG.... | {"language": ["en"], "library_name": "transformers", "datasets": ["jusKnows/hr_extended_questions_categories"], "metrics": ["accuracy"], "pipeline_tag": "text-generation"} | jusKnows/hr_bloom_finetune_q4 | null | [
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"dataset:jusKnows/hr_extended_questions_categories",
"autotrain_compatible",
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"text-generation-inference",
"4-bit",
"region:us"
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"en"
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#transformers #safetensors #bloom #text-generation #en #dataset-jusKnows/hr_extended_questions_categories #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
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- Sometimes, questions are domain specific and can be answered by performing a simple RAG.... | [
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text-generation | transformers | This is a character (english a-z 0-9 and so on) trained model following Andrej karpathy's llama.c project https://github.com/karpathy/llama2.c on both TinyStories and my own internal similar dataset I made. the last 150k is from a subset of cosmopedia I extracted for younger people.
Trained for 49,152,000,000 tok... | {"license": "cc-by-nc-sa-4.0", "datasets": ["roneneldan/TinyStories"]} | Corianas/Microllama_Char_500k_step | null | [
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"text-generation",
"dataset:roneneldan/TinyStories",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T13:54:15+00:00 | [] | [] | TAGS
#transformers #pytorch #llama #text-generation #dataset-roneneldan/TinyStories #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| This is a character (english a-z 0-9 and so on) trained model following Andrej karpathy's llama.c project URL on both TinyStories and my own internal similar dataset I made. the last 150k is from a subset of cosmopedia I extracted for younger people.
Trained for 49,152,000,000 tokens
for it to see/output Upperca... | [] | [
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] |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama-instruct-for-entities-2
This model is a fine-tuned version of [meta-llama/CodeLlama-7b-Instruct-hf](https://huggingface.co... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/CodeLlama-7b-Instruct-hf", "model-index": [{"name": "llama-instruct-for-entities-2", "results": []}]} | veronica-girolimetti/llama-instruct-for-entities-2 | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:meta-llama/CodeLlama-7b-Instruct-hf",
"license:llama2",
"region:us"
] | null | 2024-04-09T13:54:40+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/CodeLlama-7b-Instruct-hf #license-llama2 #region-us
|
# llama-instruct-for-entities-2
This model is a fine-tuned version of meta-llama/CodeLlama-7b-Instruct-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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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": []} | vedamaganti/wav2vec2-large-xls-r-300m-hindi-colab | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# NeuralsirkrishnaShadow_Strangemerges_32Experiment28
NeuralsirkrishnaShadow_Strangemerges_32Experiment28 is a merge of the following models:
* [automerger/NeuralsirkrishnaShadow-7B](https://huggingface.co/automerger/NeuralsirkrishnaShadow-7B)
* [automerger/Strangemerges_32Experiment28-7B](https://huggingface.co/auto... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "NeuralsirkrishnaShadow_Strangemerges_32Experiment28", "base_model": ["automerger/NeuralsirkrishnaShadow-7B", "automerger/Strangemerges_32Experiment28-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipel... | MaziyarPanahi/NeuralsirkrishnaShadow_Strangemerges_32Experiment28 | null | [
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|
# NeuralsirkrishnaShadow_Strangemerges_32Experiment28
NeuralsirkrishnaShadow_Strangemerges_32Experiment28 is a merge of the following models:
* automerger/NeuralsirkrishnaShadow-7B
* automerger/Strangemerges_32Experiment28-7B
## 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": []} | jr303/sc-Mistral-v4-classification | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | adapter-transformers |
# Uploaded model
- **Developed by:** umarigan
- **License:** apache-2.0
- **Finetuned from model :** TURKCELL/Turkcell-LLM-7b-v1
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en", "tr"], "license": "apache-2.0", "library_name": "adapter-transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "datasets": ["umarigan/openhermes_tr"], "base_model": "TURKCELL/Turkcell-LLM-7b-v1"} | umarigan/TURKCELL-LLM-7B-openhermes | null | [
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|
# Uploaded model
- Developed by: umarigan
- License: apache-2.0
- Finetuned from model : TURKCELL/Turkcell-LLM-7b-v1
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
This model is fine-tuned version of Trendyol chat v1.0 on openhermes dataset. The ... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0409MP1
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0409MP1", "results": []}]} | Litzy619/V0409MP1 | null | [
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0409MP1
========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3404
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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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-kedar
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.1-GPTQ](https://huggingface.co/Th... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.1-GPTQ", "model-index": [{"name": "mistral-finetuned-kedar", "results": []}]} | kthakar/mistral-finetuned-kedar | null | [
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|
# mistral-finetuned-kedar
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tr... | [
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text-generation | transformers | # [MaziyarPanahi/codegemma-2b-GGUF](https://huggingface.co/MaziyarPanahi/codegemma-2b-GGUF)
- Model creator: [google](https://huggingface.co/google)
- Original model: [google/codegemma-2b](https://huggingface.co/google/codegemma-2b)
## Description
[MaziyarPanahi/codegemma-2b-GGUF](https://huggingface.co/MaziyarPanahi/... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "gemma", "text-generation", "license:gemma", "autotrain_compatible", "endpoints_compatible", "has_space", "text-generation-inference", "region:us", "text-generation"], "model_name": "codegemma-2b-GGUF", "... | MaziyarPanahi/codegemma-2b-GGUF | null | [
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| # MaziyarPanahi/codegemma-2b-GGUF
- Model creator: google
- Original model: google/codegemma-2b
## Description
MaziyarPanahi/codegemma-2b-GGUF contains GGUF format model files for google/codegemma-2b.
## How to use
Thanks to TheBloke for preparing an amazing README on how to use GGUF models:
### About GGUF
GGUF is ... | [
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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/unstable_68 | null | [
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text-generation | transformers |
# YamshadowStrangemerges_32_Strangemerges_32Alloyingotneoy
YamshadowStrangemerges_32_Strangemerges_32Alloyingotneoy is a merge of the following models:
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
* [automerger/Strangemerges_32Alloyingotneoy-7B](https://h... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowStrangemerges_32_Strangemerges_32Alloyingotneoy", "base_model": ["automerger/YamshadowStrangemerges_32-7B", "automerger/Strangemerges_32Alloyingotneoy-7B"], "inference": false, "model_creator": "MaziyarPanah... | MaziyarPanahi/YamshadowStrangemerges_32_Strangemerges_32Alloyingotneoy | null | [
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|
# YamshadowStrangemerges_32_Strangemerges_32Alloyingotneoy
YamshadowStrangemerges_32_Strangemerges_32Alloyingotneoy is a merge of the following models:
* automerger/YamshadowStrangemerges_32-7B
* automerger/Strangemerges_32Alloyingotneoy-7B
## Usage
| [
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text-generation | transformers |
# M7Yamshadowexperiment28_Experiment26Strangemerges_30
M7Yamshadowexperiment28_Experiment26Strangemerges_30 is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/Experiment26Strangemerges_30-7B](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_Experiment26Strangemerges_30", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/Experiment26Strangemerges_30-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pip... | MaziyarPanahi/M7Yamshadowexperiment28_Experiment26Strangemerges_30 | null | [
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|
# M7Yamshadowexperiment28_Experiment26Strangemerges_30
M7Yamshadowexperiment28_Experiment26Strangemerges_30 is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/Experiment26Strangemerges_30-7B
## Usage
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null | null | # codegemma-7b-it-gguf
[googleさんが公開しているcodegemma-7b-it](https://huggingface.co/google/codegemma-7b-it)のggufフォーマット変換版です。
# Licence
[gemma-terms-of-use 利用規約](https://ai.google.dev/gemma/terms)をご利用前に必ずご確認ください。
# 他のモデル
[mmnga/gemma-2b-it-gguf](https://huggingface.co/mmnga/gemma-2b-it-gguf)
[mmnga/gemma-7b-it-gguf](ht... | {"language": ["en", "ja"], "license": "gemma", "license_name": "gemma-terms-of-use", "license_link": "https://www.kaggle.com/models/google/gemma/license/consent"} | mmnga/codegemma-7b-it-gguf | null | [
"gguf",
"en",
"ja",
"license:gemma",
"region:us"
] | null | 2024-04-09T14:01:24+00:00 | [] | [
"en",
"ja"
] | TAGS
#gguf #en #ja #license-gemma #region-us
| # codegemma-7b-it-gguf
googleさんが公開しているcodegemma-7b-itのggufフォーマット変換版です。
# Licence
gemma-terms-of-use 利用規約をご利用前に必ずご確認ください。
# 他のモデル
mmnga/gemma-2b-it-gguf
mmnga/gemma-7b-it-gguf
mmnga/gemma-1.1-7b-it-gguf
mmnga/codegemma-7b-it-gguf
## Usage
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"## Usage"
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"# Licence\ngemma-terms-of-use 利用規約をご利用前に必ずご確認ください。",
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] |
text-generation | transformers |
# Experiment28M7_T3qM7
Experiment28M7_T3qM7 is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/T3qM7-7B](https://huggingface.co/automerger/T3qM7-7B)
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformer... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_T3qM7", "base_model": ["automerger/Experiment28M7-7B", "automerger/T3qM7-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_by": "MaziyarPanahi"} | MaziyarPanahi/Experiment28M7_T3qM7 | null | [
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"mistral",
"text-generation",
"Safetensors",
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"base_model:automerger/T3qM7-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
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#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28M7-7B #base_model-automerger/T3qM7-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28M7_T3qM7
Experiment28M7_T3qM7 is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/T3qM7-7B
## Usage
| [
"# Experiment28M7_T3qM7\n\nExperiment28M7_T3qM7 is a merge of the following models:\n* automerger/Experiment28M7-7B\n* automerger/T3qM7-7B",
"## Usage"
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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": []} | spsither/wav2vec2_run10.950 | null | [
"transformers",
"safetensors",
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"automatic-speech-recognition",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #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:
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- License... | [
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text-generation | transformers |
# MeliodasPercival_01_Experiment24Yam
MeliodasPercival_01_Experiment24Yam is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/Experiment24Yam-7B](https://huggingface.co/automerger/Experiment24Yam-7B)
## 💻 Usage
```pytho... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_Experiment24Yam", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/Experiment24Yam-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "qu... | MaziyarPanahi/MeliodasPercival_01_Experiment24Yam | null | [
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"safetensors",
"mistral",
"text-generation",
"Safetensors",
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"base_model:automerger/Experiment24Yam-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T14:03:41+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/Experiment24Yam-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# MeliodasPercival_01_Experiment24Yam
MeliodasPercival_01_Experiment24Yam is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/Experiment24Yam-7B
## Usage
| [
"# MeliodasPercival_01_Experiment24Yam\n\nMeliodasPercival_01_Experiment24Yam is a merge of the following models:\n* automerger/MeliodasPercival_01-7B\n* automerger/Experiment24Yam-7B",
"## Usage"
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null | null | # English to French Machine Translation using LSTM
## Introduction:
Machine Translation, the process of automatically translating text from one language to another, has become an essential tool in today's globalized world. In this project, we focus on the task of translating English text into French using advanced mac... | {} | Nishat5349/machine_translation_english_to_french | null | [
"region:us"
] | null | 2024-04-09T14:03:41+00:00 | [] | [] | TAGS
#region-us
| # English to French Machine Translation using LSTM
## Introduction:
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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 [linear](https://arxiv.org/abs/2203.05482) merge method.
### Models Merged
The following models were included in the merge:
* [mistra... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mistralai/Mistral-7B-Instruct-v0.2"]} | mergekit-community/HX-Mistral-3B_v0.1 | null | [
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"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T14:03:54+00:00 | [
"2203.05482"
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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 linear merge method.
### Models Merged
The following models were included in the merge:
* mistralai/Mistral-7B-Instruct-v0.2
### Configuration
The following YAML config... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-finetuned-subjqa-movies_2
This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/dee... | {"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "base_model": "deepset/roberta-base-squad2", "model-index": [{"name": "roberta-finetuned-subjqa-movies_2", "results": []}]} | SkullWreker/roberta-finetuned-subjqa-movies_2 | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"question-answering",
"generated_from_trainer",
"base_model:deepset/roberta-base-squad2",
"license:cc-by-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T14:04:01+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #question-answering #generated_from_trainer #base_model-deepset/roberta-base-squad2 #license-cc-by-4.0 #endpoints_compatible #region-us
|
# roberta-finetuned-subjqa-movies_2
This model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
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text-generation | transformers |
## Llamacpp Quantizations of codegemma-7b-it
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2589">b2589</a> for quantization.
Original model: https://huggingface.co/google/codegemma-7b-it
All quants made using imatrix optio... | {"license": "gemma", "library_name": "transformers", "extra_gated_heading": "Access Gemma on Hugging Face", "extra_gated_prompt": "To access CodeGemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Hugging Face and click below... | bartowski/codegemma-7b-it-GGUF | null | [
"transformers",
"gguf",
"text-generation",
"license:gemma",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T14:04:29+00:00 | [] | [] | TAGS
#transformers #gguf #text-generation #license-gemma #endpoints_compatible #region-us
| Llamacpp Quantizations of codegemma-7b-it
-----------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
All quants made using imatrix option with dataset provided by Kalomaze here
Prompt format
-------------
Note that this model does not support a Syst... | [] | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0409MP2
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0409MP2", "results": []}]} | Litzy619/V0409MP2 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-09T14:05:23+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0409MP2
========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3412
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0409MP3
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0409MP3", "results": []}]} | Litzy619/V0409MP3 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-09T14:05:43+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0409MP3
========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3404
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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text-generation | transformers |
# Dolphin-2.2.1-mistral-7b-GGUF
- Quantized version of [Dolphin-2.2.1-mistral-7b](https://huggingface.co/cognitivecomputations/dolphin-2.2.1-mistral-7b)
- Created using llama.cpp
## Available Quants
- IQ3_S
- Q2_K
- Q3_K_L
- Q3_K_M
- Q3_K_S
- Q4_0
- Q4_K_M
- Q4_K_S
- Q5_0
- Q5_K_M
- Q5_K_S
- Q6_K
- Q8_0
| {"license": "apache-2.0", "library_name": "transformers", "tags": ["mistral", "text-generation-inference"], "pipeline_tag": "text-generation", "base_model": "cognitivecomputations/dolphin-2.2.1-mistral-7b", "inference": false} | QuantFactory/dolphin-2.2.1-mistral-7b-GGUF | null | [
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"region:us"
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#transformers #gguf #mistral #text-generation-inference #text-generation #base_model-cognitivecomputations/dolphin-2.2.1-mistral-7b #license-apache-2.0 #region-us
|
# Dolphin-2.2.1-mistral-7b-GGUF
- Quantized version of Dolphin-2.2.1-mistral-7b
- Created using URL
## Available Quants
- IQ3_S
- Q2_K
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- Q4_0
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0409MP4
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0409MP4", "results": []}]} | Litzy619/V0409MP4 | null | [
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"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0409MP4
========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3412
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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text-generation | transformers |
# YamshadowInex12_Experiment24Experiment26
YamshadowInex12_Experiment24Experiment26 is a merge of the following models:
* [automerger/YamshadowInex12-7B](https://huggingface.co/automerger/YamshadowInex12-7B)
* [automerger/Experiment24Experiment26-7B](https://huggingface.co/automerger/Experiment24Experiment26-7B)
##... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowInex12_Experiment24Experiment26", "base_model": ["automerger/YamshadowInex12-7B", "automerger/Experiment24Experiment26-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-genera... | MaziyarPanahi/YamshadowInex12_Experiment24Experiment26 | null | [
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"mistral",
"text-generation",
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"base_model:automerger/Experiment24Experiment26-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
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#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowInex12-7B #base_model-automerger/Experiment24Experiment26-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowInex12_Experiment24Experiment26
YamshadowInex12_Experiment24Experiment26 is a merge of the following models:
* automerger/YamshadowInex12-7B
* automerger/Experiment24Experiment26-7B
## Usage
| [
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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. -->
# criticon-sft-v0.1
This model is a fine-tuned version of [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenH... | {"license": "apache-2.0", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "teknium/OpenHermes-2.5-Mistral-7B", "model-index": [{"name": "criticon-sft-v0.1", "results": []}]} | distilabel-internal-testing/criticon-sft-v0.1 | null | [
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"... | null | 2024-04-09T14:08:23+00:00 | [] | [] | TAGS
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| criticon-sft-v0.1
=================
This model is a fine-tuned version of teknium/OpenHermes-2.5-Mistral-7B on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4668
WandB logs
----------
* criticon logs
Model description
-----------------
More information needed
In... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-06\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 64\n*... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["llama-factory"]} | echojay/catai1.0 | null | [
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#transformers #safetensors #qwen2 #text-generation #llama-factory #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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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-pubmed-20k
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) ... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-large-cnn", "model-index": [{"name": "bart-pubmed-20k", "results": []}]} | Chung-Fan/bart-pubmed-20k | null | [
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"base_model:facebook/bart-large-cnn",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T14:09:32+00:00 | [] | [] | TAGS
#transformers #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-large-cnn #license-mit #autotrain_compatible #endpoints_compatible #region-us
| bart-pubmed-20k
===============
This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1077
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Expert1-leaf-disease-convnextv2-base-22k-224-0_4
This model is a fine-tuned version of [facebook/convnextv2-base-22k-224](https:... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "facebook/convnextv2-base-22k-224", "model-index": [{"name": "Expert1-leaf-disease-convnextv2-base-22k-224-0_4", "results": [{"task": {"type": "image-classification", "name": "Image Classifi... | louislu9911/Expert1-leaf-disease-convnextv2-base-22k-224-0_4 | null | [
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] | null | 2024-04-09T14:11:39+00:00 | [] | [] | TAGS
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| Expert1-leaf-disease-convnextv2-base-22k-224-0\_4
=================================================
This model is a fine-tuned version of facebook/convnextv2-base-22k-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3647
* Accuracy: 0.8338
Model description
------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 300\n* eval\\_batch\\_size: 300\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 1200\n* optimizer: Adam with betas=(0.9,0.999) and eps... | [
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text-to-image | null |
# LoRA model of Shirakawa Chitose/白河千歳 (Otonari no Tenshi-sama ni Itsunomanika Dame Ningen ni Sareteita Ken)
## What Is This?
This is the LoRA model of waifu Shirakawa Chitose/白河千歳 (Otonari no Tenshi-sama ni Itsunomanika Dame Ningen ni Sareteita Ken).
## How Is It Trained?
* This model is trained with [kohya-ss/sd... | {"license": "mit", "tags": ["art", "not-for-all-audiences"], "datasets": ["CyberHarem/shirakawa_chitose_otonarinotenshisamaniitsunomanikadameningennisareteitaken", "BangumiBase/otonarinotenshisamaniitsunomanikadameningennisareteitaken"], "pipeline_tag": "text-to-image"} | CyberHarem/shirakawa_chitose_otonarinotenshisamaniitsunomanikadameningennisareteitaken | null | [
"art",
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"text-to-image",
"dataset:CyberHarem/shirakawa_chitose_otonarinotenshisamaniitsunomanikadameningennisareteitaken",
"dataset:BangumiBase/otonarinotenshisamaniitsunomanikadameningennisareteitaken",
"license:mit",
"region:us"
] | null | 2024-04-09T14:13:19+00:00 | [] | [] | TAGS
#art #not-for-all-audiences #text-to-image #dataset-CyberHarem/shirakawa_chitose_otonarinotenshisamaniitsunomanikadameningennisareteitaken #dataset-BangumiBase/otonarinotenshisamaniitsunomanikadameningennisareteitaken #license-mit #region-us
| LoRA model of Shirakawa Chitose/白河千歳 (Otonari no Tenshi-sama ni Itsunomanika Dame Ningen ni Sareteita Ken)
==========================================================================================================
What Is This?
-------------
This is the LoRA model of waifu Shirakawa Chitose/白河千歳 (Otonari no Tenshi-... | [] | [
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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... | HaitingHW/dqn-SpaceInvadersNoFrameskip-v4 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-09T14:14:39+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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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": []} | vedamaganti/wav2vec2-xls-r-300m-hindi-colab | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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unconditional-image-generation | diffusers |
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('Alorel/0409-sd-class-butter... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | Alorel/0409-sd-class-butterflies-64 | null | [
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#diffusers #safetensors #pytorch #unconditional-image-generation #diffusion-models-class #license-mit #diffusers-DDPMPipeline #region-us
|
# Model Card for Unit 1 of the Diffusion Models Class
This model is a diffusion model for unconditional image generation of cute .
## Usage
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] |
null | 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": []} | randgree/ru_text_gen-rugpt3-based | null | [
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"endpoints_compatible",
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Expert2-leaf-disease-convnextv2-base-22k-224-1_2_3
This model is a fine-tuned version of [facebook/convnextv2-base-22k-224](http... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "facebook/convnextv2-base-22k-224", "model-index": [{"name": "Expert2-leaf-disease-convnextv2-base-22k-224-1_2_3", "results": [{"task": {"type": "image-classification", "name": "Image Classi... | louislu9911/Expert2-leaf-disease-convnextv2-base-22k-224-1_2_3 | null | [
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| Expert2-leaf-disease-convnextv2-base-22k-224-1\_2\_3
====================================================
This model is a fine-tuned version of facebook/convnextv2-base-22k-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1599
* Accuracy: 0.9498
Model description
... | [
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text-generation | transformers |
# NeuralsirkrishnaShadow_Experiment29Experiment24
NeuralsirkrishnaShadow_Experiment29Experiment24 is a merge of the following models:
* [automerger/NeuralsirkrishnaShadow-7B](https://huggingface.co/automerger/NeuralsirkrishnaShadow-7B)
* [automerger/Experiment29Experiment24-7B](https://huggingface.co/automerger/Exper... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "NeuralsirkrishnaShadow_Experiment29Experiment24", "base_model": ["automerger/NeuralsirkrishnaShadow-7B", "automerger/Experiment29Experiment24-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag"... | MaziyarPanahi/NeuralsirkrishnaShadow_Experiment29Experiment24 | null | [
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"base_model:automerger/Experiment29Experiment24-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T14:18:33+00:00 | [] | [] | TAGS
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|
# NeuralsirkrishnaShadow_Experiment29Experiment24
NeuralsirkrishnaShadow_Experiment29Experiment24 is a merge of the following models:
* automerger/NeuralsirkrishnaShadow-7B
* automerger/Experiment29Experiment24-7B
## Usage
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null | transformers | [](https://huggingface.co/alkibijad/YugoGPT-GGUF/blob/main/README.md)
[](https://huggingface.co/alkibijad/YugoGPT-GGUF/blob/main/README.en.md)
# O modelu
[YugoGPT](https://huggingface.co/gordicaleksa/YugoGPT) je tren... | {"language": ["sr", "hr"], "license": "apache-2.0", "model_name": "YugoGPT", "base_model": "gordicaleksa/YugoGPT", "inference": false, "model_creator": "gordicaleksa", "model_type": "mistral", "quantized_by": "Luka Secerovic"} | alkibijad/YugoGPT-GGUF | null | [
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"base_model:gordicaleksa/YugoGPT",
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#transformers #gguf #mistral #sr #hr #base_model-gordicaleksa/YugoGPT #license-apache-2.0 #text-generation-inference #region-us
| ![sr](URL
![en](URL
O modelu
========
YugoGPT je trenutno najbolji "open source" model za srpski, hrvatski, bosanski... i sve ostale jezike na koje uspemo da se "podelimo"
Ovaj repozitorijum sadrži model u GGUF formatu, koji je pogodan za korišćenje modela u lokalu i ne zahteva skupe grafičke kartice.
Verzije m... | [] | [
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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-medgeinus
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral-medgenius", "results": []}]} | sidmanale643/medGENIUS | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-09T14:19:06+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
|
# mistral-medgeinus
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.8767
- eval_runtime: 566.8827
- eval_samples_per_second: 1.925
- eval_steps_per_second: 0.242
- epoch: 0.07
- step: 150
## Mode... | [
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feature-extraction | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuned_bge_ver4
This model is a fine-tuned version of [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3) on an unknown dataset... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "BAAI/bge-m3", "model-index": [{"name": "finetuned_bge_ver4", "results": []}]} | comet24082002/finetuned_bge_ver4 | null | [
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"tensorboard",
"safetensors",
"xlm-roberta",
"feature-extraction",
"generated_from_trainer",
"base_model:BAAI/bge-m3",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T14:19:47+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #xlm-roberta #feature-extraction #generated_from_trainer #base_model-BAAI/bge-m3 #license-mit #endpoints_compatible #region-us
|
# finetuned_bge_ver4
This model is a fine-tuned version of BAAI/bge-m3 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The fo... | [
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null | transformers |
# Tech-Meld/HX-Mistral-3B_v0.1-Q4_K_M-GGUF
This model was converted to GGUF format from [`mergekit-community/HX-Mistral-3B_v0.1`](https://huggingface.co/mergekit-community/HX-Mistral-3B_v0.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [orig... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["mistralai/Mistral-7B-Instruct-v0.2"]} | Tech-Meld/HX-Mistral-3B_v0.1-Q4_K_M-GGUF | null | [
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"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T14:20:37+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-mistralai/Mistral-7B-Instruct-v0.2 #endpoints_compatible #region-us
|
# Tech-Meld/HX-Mistral-3B_v0.1-Q4_K_M-GGUF
This model was converted to GGUF format from 'mergekit-community/HX-Mistral-3B_v0.1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI... | [
"# Tech-Meld/HX-Mistral-3B_v0.1-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'mergekit-community/HX-Mistral-3B_v0.1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text-generation | transformers |
# YamshadowStrangemerges_32_T3qM7
YamshadowStrangemerges_32_T3qM7 is a merge of the following models:
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
* [automerger/T3qM7-7B](https://huggingface.co/automerger/T3qM7-7B)
## 💻 Usage
```python
!pip install -... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowStrangemerges_32_T3qM7", "base_model": ["automerger/YamshadowStrangemerges_32-7B", "automerger/T3qM7-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_... | MaziyarPanahi/YamshadowStrangemerges_32_T3qM7 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
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"base_model:automerger/YamshadowStrangemerges_32-7B",
"base_model:automerger/T3qM7-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T14:23:24+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowStrangemerges_32-7B #base_model-automerger/T3qM7-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowStrangemerges_32_T3qM7
YamshadowStrangemerges_32_T3qM7 is a merge of the following models:
* automerger/YamshadowStrangemerges_32-7B
* automerger/T3qM7-7B
## Usage
| [
"# YamshadowStrangemerges_32_T3qM7\n\nYamshadowStrangemerges_32_T3qM7 is a merge of the following models:\n* automerger/YamshadowStrangemerges_32-7B\n* automerger/T3qM7-7B",
"## Usage"
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text-generation | transformers |
# M7Yamshadowexperiment28_Ognoexperiment27M7
M7Yamshadowexperiment28_Ognoexperiment27M7 is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/Ognoexperiment27M7-7B](https://huggingface.co/automerger/Ognoexperiment27M7-... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_Ognoexperiment27M7", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/Ognoexperiment27M7-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-ge... | MaziyarPanahi/M7Yamshadowexperiment28_Ognoexperiment27M7 | null | [
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"base_model:automerger/Ognoexperiment27M7-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T14:23:28+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/M7Yamshadowexperiment28-7B #base_model-automerger/Ognoexperiment27M7-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# M7Yamshadowexperiment28_Ognoexperiment27M7
M7Yamshadowexperiment28_Ognoexperiment27M7 is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/Ognoexperiment27M7-7B
## Usage
| [
"# M7Yamshadowexperiment28_Ognoexperiment27M7\n\nM7Yamshadowexperiment28_Ognoexperiment27M7 is a merge of the following models:\n* automerger/M7Yamshadowexperiment28-7B\n* automerger/Ognoexperiment27M7-7B",
"## Usage"
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"# M7Yamshadowexperiment28_Ognoexperiment27M7\n\nM7Yam... | [
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text-generation | transformers |
# Experiment28M7_NeuralExperiment26
Experiment28M7_NeuralExperiment26 is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/NeuralExperiment26-7B](https://huggingface.co/automerger/NeuralExperiment26-7B)
## 💻 Usage
```python
!pip i... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_NeuralExperiment26", "base_model": ["automerger/Experiment28M7-7B", "automerger/NeuralExperiment26-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quanti... | MaziyarPanahi/Experiment28M7_NeuralExperiment26 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
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"base_model:automerger/NeuralExperiment26-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T14:23:31+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28M7-7B #base_model-automerger/NeuralExperiment26-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28M7_NeuralExperiment26
Experiment28M7_NeuralExperiment26 is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/NeuralExperiment26-7B
## Usage
| [
"# Experiment28M7_NeuralExperiment26\n\nExperiment28M7_NeuralExperiment26 is a merge of the following models:\n* automerger/Experiment28M7-7B\n* automerger/NeuralExperiment26-7B",
"## Usage"
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"# Experiment28M7_NeuralExperiment26\n\nExperiment28M7_NeuralEx... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "openai/whisper-base"} | ygaci/whisper-base-fr_common_voice_16_1_1 | null | [
"peft",
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"base_model:openai/whisper-base",
"region:us"
] | null | 2024-04-09T14:25:23+00:00 | [
"1910.09700"
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#peft #tensorboard #safetensors #arxiv-1910.09700 #base_model-openai/whisper-base #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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text-generation | transformers |
# MeliodasPercival_01_Experiment24Ognoexperiment27
MeliodasPercival_01_Experiment24Ognoexperiment27 is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/Experiment24Ognoexperiment27-7B](https://huggingface.co/automerger/Exper... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_Experiment24Ognoexperiment27", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/Experiment24Ognoexperiment27-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_ta... | MaziyarPanahi/MeliodasPercival_01_Experiment24Ognoexperiment27 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
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"base_model:automerger/Experiment24Ognoexperiment27-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T14:25:26+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/Experiment24Ognoexperiment27-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# MeliodasPercival_01_Experiment24Ognoexperiment27
MeliodasPercival_01_Experiment24Ognoexperiment27 is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/Experiment24Ognoexperiment27-7B
## Usage
| [
"# MeliodasPercival_01_Experiment24Ognoexperiment27\n\nMeliodasPercival_01_Experiment24Ognoexperiment27 is a merge of the following models:\n* automerger/MeliodasPercival_01-7B\n* automerger/Experiment24Ognoexperiment27-7B",
"## Usage"
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text-generation | 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. -->
# outputs
This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on the None ... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "openai-community/gpt2", "pipeline_tag": "text-generation", "model-index": [{"name": "outputs", "results": []}]} | Ikeofai/outputs | null | [
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"base_model:openai-community/gpt2",
"license:mit",
"region:us"
] | null | 2024-04-09T14:27:15+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #text-generation #base_model-openai-community/gpt2 #license-mit #region-us
| outputs
=======
This model is a fine-tuned version of openai-community/gpt2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0494
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 4\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e... | [
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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 [linear](https://arxiv.org/abs/2203.05482) merge method.
### Models Merged
The following models were included in the merge:
* [mistra... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mistralai/Mistral-7B-Instruct-v0.2"]} | Tech-Meld/HX-Mistral-1.5B_v0.1 | null | [
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"safetensors",
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"merge",
"conversational",
"arxiv:2203.05482",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T14:27:30+00:00 | [
"2203.05482"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #arxiv-2203.05482 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the linear merge method.
### Models Merged
The following models were included in the merge:
* mistralai/Mistral-7B-Instruct-v0.2
### Configuration
The following YAML config... | [
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"### Configurati... | [
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null | trl |
# Weni/WeniGPT-Agents-Zephyr-1.0.13-KTO
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta] on the dataset Weni/wenigpt-agent-1.2.0 with the KTO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: Hyperparameter search, altering lora params for KTO task.
It achieves... | {"language": ["pt"], "license": "mit", "library_name": "trl", "tags": ["KTO", "WeniGPT"], "base_model": "HuggingFaceH4/zephyr-7b-beta", "model-index": [{"name": "Weni/WeniGPT-Agents-Zephyr-1.0.13-KTO", "results": []}]} | Weni/WeniGPT-Agents-Zephyr-1.0.13-KTO | null | [
"trl",
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"KTO",
"WeniGPT",
"pt",
"base_model:HuggingFaceH4/zephyr-7b-beta",
"license:mit",
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] | null | 2024-04-09T14:28:10+00:00 | [] | [
"pt"
] | TAGS
#trl #safetensors #KTO #WeniGPT #pt #base_model-HuggingFaceH4/zephyr-7b-beta #license-mit #region-us
|
# Weni/WeniGPT-Agents-Zephyr-1.0.13-KTO
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta] on the dataset Weni/wenigpt-agent-1.2.0 with the KTO trainer. It is part of the WeniGPT project for Weni.
Description: Hyperparameter search, altering lora params for KTO task.
It achieves the following resul... | [
"# Weni/WeniGPT-Agents-Zephyr-1.0.13-KTO\n\nThis model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta] on the dataset Weni/wenigpt-agent-1.2.0 with the KTO trainer. It is part of the WeniGPT project for Weni.\nDescription: Hyperparameter search, altering lora params for KTO task.\n\nIt achieves the follow... | [
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text-generation | transformers |
# YamshadowInex12_Experiment29Multi_verse_model
YamshadowInex12_Experiment29Multi_verse_model is a merge of the following models:
* [automerger/YamshadowInex12-7B](https://huggingface.co/automerger/YamshadowInex12-7B)
* [automerger/Experiment29Multi_verse_model-7B](https://huggingface.co/automerger/Experiment29Multi_... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowInex12_Experiment29Multi_verse_model", "base_model": ["automerger/YamshadowInex12-7B", "automerger/Experiment29Multi_verse_model-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "t... | MaziyarPanahi/YamshadowInex12_Experiment29Multi_verse_model | null | [
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"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T14:28:36+00:00 | [] | [] | TAGS
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|
# YamshadowInex12_Experiment29Multi_verse_model
YamshadowInex12_Experiment29Multi_verse_model is a merge of the following models:
* automerger/YamshadowInex12-7B
* automerger/Experiment29Multi_verse_model-7B
## Usage
| [
"# YamshadowInex12_Experiment29Multi_verse_model\n\nYamshadowInex12_Experiment29Multi_verse_model is a merge of the following models:\n* automerger/YamshadowInex12-7B\n* automerger/Experiment29Multi_verse_model-7B",
"## Usage"
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | ytykhonova/distilbert-base-uncased-finetuned-emotion | null | [
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| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2175
* Accuracy: 0.928
* F1: 0.9280
Model description
-----------------
Mor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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text-generation | transformers | # [MaziyarPanahi/codegemma-7b-it-GGUF](https://huggingface.co/MaziyarPanahi/codegemma-7b-it-GGUF)
- Model creator: [google](https://huggingface.co/google)
- Original model: [google/codegemma-7b-it](https://huggingface.co/google/codegemma-7b-it)
## Description
[MaziyarPanahi/codegemma-7b-it-GGUF](https://huggingface.co... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "gemma", "text-generation", "conversational", "license:gemma", "autotrain_compatible", "endpoints_compatible", "has_space", "text-generation-inference", "region:us", "text-generation"], "model_name": "cod... | MaziyarPanahi/codegemma-7b-it-GGUF | null | [
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... | null | 2024-04-09T14:31:44+00:00 | [] | [] | TAGS
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| # MaziyarPanahi/codegemma-7b-it-GGUF
- Model creator: google
- Original model: google/codegemma-7b-it
## Description
MaziyarPanahi/codegemma-7b-it-GGUF contains GGUF format model files for google/codegemma-7b-it.
## How to use
Thanks to TheBloke for preparing an amazing README on how to use GGUF models:
### About GG... | [
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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": []} | sitatech/dsi-coder | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | falba/t5-small-finetuned-news-ep2 | null | [
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text2text-generation | transformers | # Model Card
## Summary
This model was trained using [H2O LLM Studio](https://github.com/h2oai/h2o-llmstudio).
- Base model: [lmsys/fastchat-t5-3b-v1.0](https://huggingface.co/lmsys/fastchat-t5-3b-v1.0)
## Usage
To use the model with the `transformers` library on a machine with GPUs, first make sure you have the `t... | {"language": ["en"], "library_name": "transformers", "tags": ["gpt", "llm", "large language model", "h2o-llmstudio"], "inference": false, "thumbnail": "https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico"} | Aaryan-Nakhat/experiment-29-prompt-5-guardrails-finetuning-itr-4-sub-prompt-1 | null | [
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| # Model Card
## Summary
This model was trained using H2O LLM Studio.
- Base model: lmsys/fastchat-t5-3b-v1.0
## Usage
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | bproulx/autotrain-PHI2-FieldDoc | null | [
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|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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text-generation | transformers |
# Niel-7B
Niel-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Ppoyaa/StarMonarch-7B](https://huggingface.co/Ppoyaa/StarMonarch-7B)
* [cognitivecomputations/dolphin-2.8-mistral-7b-v02](https://huggingface.co/cognitiv... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "Ppoyaa/StarMonarch-7B", "cognitivecomputations/dolphin-2.8-mistral-7b-v02"], "base_model": ["Ppoyaa/StarMonarch-7B", "cognitivecomputations/dolphin-2.8-mistral-7b-v02"]} | Ppoyaa/Niel-7B | null | [
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# Niel-7B
Niel-7B is a merge of the following models using LazyMergekit:
* Ppoyaa/StarMonarch-7B
* cognitivecomputations/dolphin-2.8-mistral-7b-v02
## Configuration
## Usage
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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. -->
# RobertaJudge
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "RobertaJudge", "results": []}]} | GeorgeDaDude/RobertaJudge | null | [
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| RobertaJudge
============
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0000
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information nee... | [
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null | transformers |
Only non-commercial purposes.
# gector sample
This is an unofficial pretrained model of GECToR ([Omelianchuk+ 2020](https://aclanthology.org/2020.bea-1.16/)).
### How to use
The code is avaliable from https://github.com/gotutiyan/gector.
CLI
```sh
python predict.py --input <raw text file> --restore_dir gotutiya... | {"language": "en", "tags": ["GECToR_gotutiyan", "grammatical error correction"]} | andrewrreed/gector-deberta-large-5k | null | [
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] | TAGS
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|
Only non-commercial purposes.
# gector sample
This is an unofficial pretrained model of GECToR (Omelianchuk+ 2020).
### How to use
The code is avaliable from URL
CLI
API
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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. -->
# 0.0001_idpo_decalpha_iter_3
This model is a fine-tuned version of [ZhangShenao/0.00045_idpo_decalpha_iter_2](https://huggingface... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0001_idpo_decalpha_dataset"], "base_model": "ZhangShenao/0.00045_idpo_decalpha_iter_2", "model-index": [{"name": "0.0001_idpo_decalpha_iter_3", "results": []}]} | ZhangShenao/0.0001_idpo_decalpha_iter_3 | null | [
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# 0.0001_idpo_decalpha_iter_3
This model is a fine-tuned version of ZhangShenao/0.00045_idpo_decalpha_iter_2 on the ZhangShenao/0.0001_idpo_decalpha_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informa... | [
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text-generation | transformers |
# Mistral-portuguese-luana-7b-chat
<p align="center">
<img src="https://raw.githubusercontent.com/rhaymisonbetini/huggphotos/main/luana-chat.webp" width="50%" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
</p>
This model was trained with a superset of 250,000 chat in Portuguese.
The model com... | {"language": ["pt"], "license": "apache-2.0", "library_name": "transformers", "tags": ["Misral", "Portuguese", "7b", "chat", "portugues"], "datasets": ["rhaymison/ultrachat-easy-use"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "pipeline_tag": "text-generation", "model-index": [{"name": "Mistral-portuguese-lua... | rhaymison/Mistral-portuguese-luana-7b-chat | null | [
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... | null | 2024-04-09T14:40:26+00:00 | [] | [
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================================
This model was trained with a superset of 250,000 chat in Portuguese.
The model comes to help fill the gap in models in Portuguese. Tuned from the Mistral 7b, the model was adjusted mainly for chat.
How to use
==========
### FU... | [
"### FULL MODEL : A100",
"### HALF MODEL: L4",
"### 8bit or 4bit : T4 or V100\n\n\nYou can use the model in its normal form up to 4-bit quantization. Below we will use both approaches.\nRemember that verbs are important in your prompt. Tell your model how to act or behave so that you can guide them along the pa... | [
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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/unstable_69 | 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 |
# Sentiment Span Extraction in Vietnamese using BiLSTM-CRF Model
This repository contains the implementation of a BiLSTM-CRF model for the task of Sentiment Span Extraction in Vietnamese. The model is built using PyTorch and trained on the UIT-ViSD4SA dataset.
## Task Description
Sentiment span extraction involves ... | {"language": ["vi"], "license": "mit"} | hoangduy0610/uit-cs112-sentiment-span-extraction-vietnamese | null | [
"pytorch",
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|
# Sentiment Span Extraction in Vietnamese using BiLSTM-CRF Model
This repository contains the implementation of a BiLSTM-CRF model for the task of Sentiment Span Extraction in Vietnamese. The model is built using PyTorch and trained on the UIT-ViSD4SA dataset.
## Task Description
Sentiment span extraction involves ... | [
"# Sentiment Span Extraction in Vietnamese using BiLSTM-CRF Model\n\nThis repository contains the implementation of a BiLSTM-CRF model for the task of Sentiment Span Extraction in Vietnamese. The model is built using PyTorch and trained on the UIT-ViSD4SA dataset.",
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text-generation | transformers |
# YamshadowStrangemerges_32_NeuralExperiment26
YamshadowStrangemerges_32_NeuralExperiment26 is a merge of the following models:
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
* [automerger/NeuralExperiment26-7B](https://huggingface.co/automerger/NeuralExper... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowStrangemerges_32_NeuralExperiment26", "base_model": ["automerger/YamshadowStrangemerges_32-7B", "automerger/NeuralExperiment26-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "tex... | MaziyarPanahi/YamshadowStrangemerges_32_NeuralExperiment26 | null | [
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"license:apache-2.0",
"autotrain_compatible",
"region:us"
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|
# YamshadowStrangemerges_32_NeuralExperiment26
YamshadowStrangemerges_32_NeuralExperiment26 is a merge of the following models:
* automerger/YamshadowStrangemerges_32-7B
* automerger/NeuralExperiment26-7B
## Usage
| [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# opus-mt-en-ro-finetuned-en-to-ro-finetuned-en-to-ro
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ro](https://h... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "Helsinki-NLP/opus-mt-en-ro", "model-index": [{"name": "opus-mt-en-ro-finetuned-en-to-ro-finetuned-en-to-ro", "results": []}]} | MicMer17/opus-mt-en-ro-finetuned-en-to-ro-finetuned-en-to-ro | null | [
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|
# opus-mt-en-ro-finetuned-en-to-ro-finetuned-en-to-ro
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ro on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training... | [
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null | null | # aixsatoshi-Honyaku-7b-v2-gguf
[aixsatoshiさんが公開しているHonyaku-7b-v2](https://huggingface.co/aixsatoshi/Honyaku-7b-v2)のggufフォーマット変換版です。
## 他のモデル
[mmnga/aixsatoshi-Honyaku-7b-v2-gguf](https://huggingface.co/mmnga/aixsatoshi-Honyaku-7b-v2-gguf)
[mmnga/aixsatoshi-Honyaku-Multi-Translator-Swallow-ms7b-gguf](https://huggin... | {"language": ["en", "ja"], "license": "apache-2.0", "tags": ["mistral"]} | mmnga/aixsatoshi-Honyaku-7b-v2-gguf | null | [
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#gguf #mistral #en #ja #license-apache-2.0 #region-us
| # aixsatoshi-Honyaku-7b-v2-gguf
aixsatoshiさんが公開しているHonyaku-7b-v2のggufフォーマット変換版です。
## 他のモデル
mmnga/aixsatoshi-Honyaku-7b-v2-gguf
mmnga/aixsatoshi-Honyaku-Multi-Translator-Swallow-ms7b-gguf
mmnga/aixsatoshi-Swallow-MX-8x7b-NVE-chatvector-Mixtral-instruct-v2-gguf
mmnga/aixsatoshi-Mixtral-8x7B-ja-sft-ChatbotArenaJAc... | [
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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": []} | kalytm/nous-2 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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text-generation | transformers |
# M7Yamshadowexperiment28_Experiment24Yam
M7Yamshadowexperiment28_Experiment24Yam is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/Experiment24Yam-7B](https://huggingface.co/automerger/Experiment24Yam-7B)
## 💻 ... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_Experiment24Yam", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/Experiment24Yam-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generati... | MaziyarPanahi/M7Yamshadowexperiment28_Experiment24Yam | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/M7Yamshadowexperiment28-7B",
"base_model:automerger/Experiment24Yam-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T14:46:34+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/M7Yamshadowexperiment28-7B #base_model-automerger/Experiment24Yam-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# M7Yamshadowexperiment28_Experiment24Yam
M7Yamshadowexperiment28_Experiment24Yam is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/Experiment24Yam-7B
## Usage
| [
"# M7Yamshadowexperiment28_Experiment24Yam\n\nM7Yamshadowexperiment28_Experiment24Yam is a merge of the following models:\n* automerger/M7Yamshadowexperiment28-7B\n* automerger/Experiment24Yam-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/M7Yamshadowexperiment28-7B #base_model-automerger/Experiment24Yam-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# M7Yamshadowexperiment28_Experiment24Yam\n\nM7Yamshadow... | [
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"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/M7Yamshadowexperiment28-7B #base_model-automerger/Experiment24Yam-7B #license-apache-2.0 #autotrain_compatible #region-us \n# M7Yamshadowexperiment28_Experiment24Yam\n\nM7Yamshadowexperi... |
automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Base Ru
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the C... | {"language": ["ru"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_0"], "metrics": ["wer"], "base_model": "openai/whisper-base", "model-index": [{"name": "Whisper Base Ru", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Sp... | whitemouse84/whisper-base-ru | null | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"ru",
"dataset:mozilla-foundation/common_voice_16_0",
"base_model:openai/whisper-base",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T14:46:49+00:00 | [] | [
"ru"
] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #ru #dataset-mozilla-foundation/common_voice_16_0 #base_model-openai/whisper-base #license-apache-2.0 #model-index #endpoints_compatible #region-us
| Whisper Base Ru
===============
This model is a fine-tuned version of openai/whisper-base on the Common Voice 16.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3411
* Wer: 151.5562
Model description
-----------------
More information needed
Intended uses & limitations
----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #ru #dataset-mozilla-foundation/common_voice_16_0 #base_model-openai/whisper-base #license-apache-2.0 #model-index #endpoints_compatible #region-us \n",
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text-generation | transformers |
# NeuralsirkrishnaShadow_Experiment26Strangemerges_30
NeuralsirkrishnaShadow_Experiment26Strangemerges_30 is a merge of the following models:
* [automerger/NeuralsirkrishnaShadow-7B](https://huggingface.co/automerger/NeuralsirkrishnaShadow-7B)
* [automerger/Experiment26Strangemerges_30-7B](https://huggingface.co/auto... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "NeuralsirkrishnaShadow_Experiment26Strangemerges_30", "base_model": ["automerger/NeuralsirkrishnaShadow-7B", "automerger/Experiment26Strangemerges_30-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipel... | MaziyarPanahi/NeuralsirkrishnaShadow_Experiment26Strangemerges_30 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/NeuralsirkrishnaShadow-7B",
"base_model:automerger/Experiment26Strangemerges_30-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T14:47:05+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/NeuralsirkrishnaShadow-7B #base_model-automerger/Experiment26Strangemerges_30-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# NeuralsirkrishnaShadow_Experiment26Strangemerges_30
NeuralsirkrishnaShadow_Experiment26Strangemerges_30 is a merge of the following models:
* automerger/NeuralsirkrishnaShadow-7B
* automerger/Experiment26Strangemerges_30-7B
## Usage
| [
"# NeuralsirkrishnaShadow_Experiment26Strangemerges_30\n\nNeuralsirkrishnaShadow_Experiment26Strangemerges_30 is a merge of the following models:\n* automerger/NeuralsirkrishnaShadow-7B\n* automerger/Experiment26Strangemerges_30-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/NeuralsirkrishnaShadow-7B #base_model-automerger/Experiment26Strangemerges_30-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# NeuralsirkrishnaShadow_Experiment26Strange... | [
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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. -->
# sft_gpt7b_domar_pretuned
This model is a fine-tuned version of [AI-Sweden-Models/gpt-sw3-6.7b](https://huggingface.co/AI-Sweden-... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "AI-Sweden-Models/gpt-sw3-6.7b", "model-index": [{"name": "sft_gpt7b_domar_pretuned", "results": []}]} | thorirhrafn/sft_gpt7b_domar_pretuned | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:AI-Sweden-Models/gpt-sw3-6.7b",
"license:other",
"region:us"
] | null | 2024-04-09T14:47:08+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-AI-Sweden-Models/gpt-sw3-6.7b #license-other #region-us
| sft\_gpt7b\_domar\_pretuned
===========================
This model is a fine-tuned version of AI-Sweden-Models/gpt-sw3-6.7b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5598
Model description
-----------------
More information needed
Intended uses & limitations
---... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 4\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-AI-Sweden-Models/gpt-sw3-6.7b #license-other #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n*... | [
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"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-AI-Sweden-Models/gpt-sw3-6.7b #license-other #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed:... |
text-generation | transformers |
# Experiment28M7_NeuralsirkrishnaInex12
Experiment28M7_NeuralsirkrishnaInex12 is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/NeuralsirkrishnaInex12-7B](https://huggingface.co/automerger/NeuralsirkrishnaInex12-7B)
## 💻 Usage
... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_NeuralsirkrishnaInex12", "base_model": ["automerger/Experiment28M7-7B", "automerger/NeuralsirkrishnaInex12-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation",... | MaziyarPanahi/Experiment28M7_NeuralsirkrishnaInex12 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/Experiment28M7-7B",
"base_model:automerger/NeuralsirkrishnaInex12-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T14:47:40+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28M7-7B #base_model-automerger/NeuralsirkrishnaInex12-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28M7_NeuralsirkrishnaInex12
Experiment28M7_NeuralsirkrishnaInex12 is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/NeuralsirkrishnaInex12-7B
## Usage
| [
"# Experiment28M7_NeuralsirkrishnaInex12\n\nExperiment28M7_NeuralsirkrishnaInex12 is a merge of the following models:\n* automerger/Experiment28M7-7B\n* automerger/NeuralsirkrishnaInex12-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28M7-7B #base_model-automerger/NeuralsirkrishnaInex12-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# Experiment28M7_NeuralsirkrishnaInex12\n\nExperiment28M7_... | [
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text-generation | transformers |
# MeliodasPercival_01_Ognoexperiment27Multi_verse_model
MeliodasPercival_01_Ognoexperiment27Multi_verse_model is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/Ognoexperiment27Multi_verse_model-7B](https://huggingface.co/a... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_Ognoexperiment27Multi_verse_model", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/Ognoexperiment27Multi_verse_model-7B"], "inference": false, "model_creator": "MaziyarPanahi", "p... | MaziyarPanahi/MeliodasPercival_01_Ognoexperiment27Multi_verse_model | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/MeliodasPercival_01-7B",
"base_model:automerger/Ognoexperiment27Multi_verse_model-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T14:48:55+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/Ognoexperiment27Multi_verse_model-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# MeliodasPercival_01_Ognoexperiment27Multi_verse_model
MeliodasPercival_01_Ognoexperiment27Multi_verse_model is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/Ognoexperiment27Multi_verse_model-7B
## Usage
| [
"# MeliodasPercival_01_Ognoexperiment27Multi_verse_model\n\nMeliodasPercival_01_Ognoexperiment27Multi_verse_model is a merge of the following models:\n* automerger/MeliodasPercival_01-7B\n* automerger/Ognoexperiment27Multi_verse_model-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/Ognoexperiment27Multi_verse_model-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
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"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/Ognoexperiment27Multi_verse_model-7B #license-apache-2.0 #autotrain_compatible #region-us \n# MeliodasPercival_01_Ognoexperiment27Multi_vers... |
text-generation | transformers |
<br/><br/>
8bpw/h8 exl2 quantization of [R136a1/InfinityKumon-2x7B](https://huggingface.co/R136a1/InfinityKumon-2x7B) using default exllamav2 calibration dataset.
---
**ORIGINAL CARD:**
## InfinityKumon-2x7B
![InfinityKumon-2x7B](https://cdn.discordapp.com/attachments/843160171676565508/1222560876578476103/00000... | {"language": ["en"], "license": "apache-2.0", "tags": ["safetensors", "mixtral", "not-for-all-audiences", "nsfw"], "model-index": [{"name": "InfinityKumon-2x7B", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "conf... | JayhC/InfinityKumon-2x7B-8bpw-h8-exl2 | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"not-for-all-audiences",
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"en",
"license:apache-2.0",
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T14:49:34+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mixtral #text-generation #not-for-all-audiences #nsfw #en #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
8bpw/h8 exl2 quantization of R136a1/InfinityKumon-2x7B using default exllamav2 calibration dataset.
---
ORIGINAL CARD:
InfinityKumon-2x7B
------------------
!InfinityKumon-2x7B
Another MoE merge from Endevor/InfinityRP-v1-7B and grimjim/kukulemon-7B.
The reason? Because I like InfinityRP-v1-7B so m... | [
"### Prompt format:\n\n\nAlpaca or ChatML\n\n\nSwitch: FP16 - GGUF\n\n\nOpen LLM Leaderboard Evaluation Results\n=======================================\n\n\nDetailed results can be found here"
] | [
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"### Prompt format:\n\n\nAlpaca or ChatML\n\n\nSwitch: FP16 - GGUF\n\n\nOpen LLM Leaderboard Evaluati... | [
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text-generation | transformers |
# YamshadowInex12_AlloyingotneoyInex12
YamshadowInex12_AlloyingotneoyInex12 is a merge of the following models:
* [automerger/YamshadowInex12-7B](https://huggingface.co/automerger/YamshadowInex12-7B)
* [automerger/AlloyingotneoyInex12-7B](https://huggingface.co/automerger/AlloyingotneoyInex12-7B)
## 💻 Usage
```p... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowInex12_AlloyingotneoyInex12", "base_model": ["automerger/YamshadowInex12-7B", "automerger/AlloyingotneoyInex12-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "... | MaziyarPanahi/YamshadowInex12_AlloyingotneoyInex12 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/YamshadowInex12-7B",
"base_model:automerger/AlloyingotneoyInex12-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T14:50:34+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowInex12-7B #base_model-automerger/AlloyingotneoyInex12-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowInex12_AlloyingotneoyInex12
YamshadowInex12_AlloyingotneoyInex12 is a merge of the following models:
* automerger/YamshadowInex12-7B
* automerger/AlloyingotneoyInex12-7B
## Usage
| [
"# YamshadowInex12_AlloyingotneoyInex12\n\nYamshadowInex12_AlloyingotneoyInex12 is a merge of the following models:\n* automerger/YamshadowInex12-7B\n* automerger/AlloyingotneoyInex12-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowInex12-7B #base_model-automerger/AlloyingotneoyInex12-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# YamshadowInex12_AlloyingotneoyInex12\n\nYamshadowInex12_A... | [
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"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowInex12-7B #base_model-automerger/AlloyingotneoyInex12-7B #license-apache-2.0 #autotrain_compatible #region-us \n# YamshadowInex12_AlloyingotneoyInex12\n\nYamshadowInex12_Alloyin... |
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. -->
# GPT2_EmpAI
This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unk... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "openai-community/gpt2", "model-index": [{"name": "GPT2_EmpAI", "results": []}]} | LuangMV97/GPT2_EmpAI | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"base_model:openai-community/gpt2",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T14:52:21+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-openai-community/gpt2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GPT2\_EmpAI
===========
This model is a fine-tuned version of openai-community/gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.7913
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More informat... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ManniX-ITA/Marconi-v1-3x7B-10B-MoE
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do n... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "NousResearch/Nous-Hermes-2-SOLAR-10.7B", "ddh0/Starling-LM-10.7B-beta", "mlabonne/NeuralDaredevil-7B"], "base_model": "ManniX-ITA/Marconi-v1-3x7B-10B-MoE", "quantized_by": ... | mradermacher/Marconi-v1-3x7B-10B-MoE-GGUF | null | [
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"license:cc-by-nc-4.0",
"endpoints_compatible",
... | null | 2024-04-09T14:54:44+00:00 | [] | [
"en"
] | TAGS
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
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. -->
# icellama_domar_pretuned
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "icellama_domar_pretuned", "results": []}]} | thorirhrafn/icellama_domar_pretuned | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-hf",
"region:us"
] | null | 2024-04-09T14:54:57+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-meta-llama/Llama-2-7b-hf #region-us
| icellama\_domar\_pretuned
=========================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2161
Model description
-----------------
More information needed
Intended uses & limitations
------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-meta-llama/Llama-2-7b-hf #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_ac... |
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": []} | tistak/sn6_1 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T14:55:04+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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text-generation | transformers |
## Llamacpp Quantizations of codegemma-2b
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2589">b2589</a> for quantization.
Original model: https://huggingface.co/google/codegemma-2b
All quants made using imatrix option with... | {"license": "gemma", "library_name": "transformers", "extra_gated_heading": "Access Gemma on Hugging Face", "extra_gated_prompt": "To access CodeGemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Hugging Face and click below... | bartowski/codegemma-2b-GGUF | null | [
"transformers",
"gguf",
"text-generation",
"license:gemma",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T14:56:27+00:00 | [] | [] | TAGS
#transformers #gguf #text-generation #license-gemma #endpoints_compatible #region-us
| Llamacpp Quantizations of codegemma-2b
--------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
All quants made using imatrix option with dataset provided by Kalomaze here
Prompt format
-------------
No prompt format for this model.
Download a file... | [] | [
"TAGS\n#transformers #gguf #text-generation #license-gemma #endpoints_compatible #region-us \n"
] | [
24
] | [
"TAGS\n#transformers #gguf #text-generation #license-gemma #endpoints_compatible #region-us \n"
] |
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": []} | sridhar1111111111111111/gemma2B-It-Caption-Finetuned-2epochs | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T14:56:40+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)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
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