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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:
* [NousResearch/Hermes-2-Pro-Mistral-7B](https... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Hermes-2-Pro-Mistral-7B", "meta-llama/Meta-Llama-3-8B"]} | djward888/mergekit-slerp-cnxcquj | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"mergekit",
"merge",
"base_model:NousResearch/Hermes-2-Pro-Mistral-7B",
"base_model:meta-llama/Meta-Llama-3-8B",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-19T16:55:38+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #mergekit #merge #base_model-NousResearch/Hermes-2-Pro-Mistral-7B #base_model-meta-llama/Meta-Llama-3-8B #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* NousResearch/Hermes-2-Pro-Mistral-7B
* meta-llama/Meta-Llama-3-8B
### Configurat... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/mayacinka/OkapiLlama-3-dpo
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "dpo"], "datasets": ["mlabonne/orpo-dpo-mix-40k"], "base_model": "mayacinka/OkapiLlama-3-dpo", "quantized_by": "mradermacher"} | mradermacher/OkapiLlama-3-dpo-GGUF | null | [
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"base_model:mayacinka/OkapiLlama-3-dpo",
"license:apache-2.0",
"endpoints_compatible",
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] | null | 2024-04-19T16:55:53+00:00 | [] | [
"en"
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#transformers #gguf #text-generation-inference #unsloth #llama #trl #dpo #en #dataset-mlabonne/orpo-dpo-mix-40k #base_model-mayacinka/OkapiLlama-3-dpo #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Replete-AI/DevsDoCode-LLama-3-8b-Uncensored
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["uncensored", "transformers", "llama", "llama-3", "unsloth", "llama-factory"], "base_model": "Replete-AI/DevsDoCode-LLama-3-8b-Uncensored", "quantized_by": "mradermacher"} | mradermacher/DevsDoCode-LLama-3-8b-Uncensored-GGUF | null | [
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"en",
"base_model:Replete-AI/DevsDoCode-LLama-3-8b-Uncensored",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
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"en"
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | heyllm234/sc41 | null | [
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"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - iow9/autotrain-iwqdh-4wn3s
<Gallery />
## Model description
These are iow9/autotrain-iwqdh-4wn3s LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text encoder was ena... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "RJ Mitte Man"} | iow9/autotrain-iwqdh-4wn3s | null | [
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"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
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|
# AutoTrain SDXL LoRA DreamBooth - iow9/autotrain-iwqdh-4wn3s
<Gallery />
## Model description
These are iow9/autotrain-iwqdh-4wn3s LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used fo... | [
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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": []} | hi000000/insta_chai-llama-koen_200 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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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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text-generation | transformers | Hello Nurse 11b quantized at 4.0bpw in EXL2 format. Original model - https://huggingface.co/MarsupialAI/HelloNurse-11b | {} | MarsupialAI/HelloNurse-11b_4.0bpw_exl2 | null | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/royallab/Aetheria-L2-70B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Aetheria-L2-70B-... | {"language": ["en"], "library_name": "transformers", "tags": ["llama", "llama 2"], "base_model": "royallab/Aetheria-L2-70B", "quantized_by": "mradermacher"} | mradermacher/Aetheria-L2-70B-GGUF | null | [
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"llama 2",
"en",
"base_model:royallab/Aetheria-L2-70B",
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"en"
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#transformers #gguf #llama #llama 2 #en #base_model-royallab/Aetheria-L2-70B #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | ungonzal/deportistas | null | [
"fastai",
"region:us"
] | null | 2024-04-19T17:01:09+00:00 | [] | [] | TAGS
#fastai #region-us
|
# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the documentation here)!
2. Create a demo in Gradio or Streamlit using Spaces (documentation here).
3. Join the fastai community on the ... | [
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null | transformers |
# Uploaded model
- **Developed by:** Haxirus
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-it-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-2b-it-bnb-4bit"} | Haxirus/Gemma_2B_Fine-tuned_Adapters | null | [
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|
# Uploaded model
- Developed by: Haxirus
- License: apache-2.0
- Finetuned from model : unsloth/gemma-2b-it-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# OpenVINO IR model with int4 quantization of llama-3-8B-Instruct
Model definition for LocalAI:
```
name: llama3
backend: transformers
parameters:
model: fakezeta/llama-3-8b-instruct-ov-int4
context_size: 8192
type: OVModelForCausalLM
template:
use_tokenizer_template: true
stopwords:
- "<|eot_id|>"
- "<|end_of_te... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "https://huggingface.co/meta-llama/Meta-Llama-3-8B/blob/main/LICENSE"} | fakezeta/llama-3-8b-instruct-ov-int4 | null | [
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| OpenVINO IR model with int4 quantization of llama-3-8B-Instruct
===============================================================
Model definition for LocalAI:
Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction ... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
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text-generation | transformers |
# Uploaded model
- **Developed by:** Haxirus
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-it-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl", "sft"], "base_model": "unsloth/gemma-2b-it-bnb-4bit"} | Haxirus/Gemma_2B_Fine-tuned | null | [
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|
# Uploaded model
- Developed by: Haxirus
- License: apache-2.0
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This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers |
# 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": []} | wendy41/llama-3-user0-100 | 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 | MLC compiled model library with Vulkan for Windows | {"license": "apache-2.0"} | TheHpx/Llama-3-8B-Instruct-q4f16_1-MLC-vulkan | null | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wtimit-base-normal-all-nofreeze
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/w... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["wtimit_asr"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "wtimit-base-normal-all-nofreeze", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "datase... | SpeechResearch/wtimit-base-normal-all-nofreeze | null | [
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| wtimit-base-normal-all-nofreeze
===============================
This model is a fine-tuned version of facebook/wav2vec2-base on the wtimit\_asr dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3190
* Wer: 0.0999
Model description
-----------------
More information needed
Intended us... | [
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null | null | # Stable Diffusion web UI
A browser interface based on Gradio library for Stable Diffusion.

## Features
[Detailed feature showcase with images](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features):
- Original txt2img and img2img modes
- One click install and run script (but you s... | {} | eddiesmith/eddieweb | null | [
"arxiv:2211.06679",
"region:us"
] | null | 2024-04-19T17:15:55+00:00 | [
"2211.06679"
] | [] | TAGS
#arxiv-2211.06679 #region-us
| # Stable Diffusion web UI
A browser interface based on Gradio library for Stable Diffusion.

## Features
Detailed feature showcase with images:
- Original txt2img and img2img modes
- One click install and run script (but you still must install python and git)
- Outpainting
- Inpainting
- Color Sketch
- Prompt... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-medium-ga2en-v3
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "openai/whisper-medium", "model-index": [{"name": "whisper-medium-ga2en-v3", "results": []}]} | ymoslem/whisper-medium-ga2en-v3 | null | [
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|
# whisper-medium-ga2en-v3
This model is a fine-tuned version of openai/whisper-medium 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 hyperpar... | [
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null | null |
# Yamshadowexperiment28Multi_verse_model-7B
Yamshadowexperiment28Multi_verse_model-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [automerger/YamshadowExperiment28-7B](https://huggingface.co/automerger/YamshadowExperiment28-7B)
* [MTSAIR/mult... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["automerger/YamshadowExperiment28-7B", "MTSAIR/multi_verse_model"]} | automerger/Yamshadowexperiment28Multi_verse_model-7B | null | [
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|
# Yamshadowexperiment28Multi_verse_model-7B
Yamshadowexperiment28Multi_verse_model-7B is an automated merge created by Maxime Labonne using the following configuration.
* automerger/YamshadowExperiment28-7B
* MTSAIR/multi_verse_model
## Configuration
## Usage
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text-generation | null | # Meta-Llama-3-8B-GGUF
- This is a GGUF quantized version of [Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B/edit/main/README.md).
## Model Details
* Meta developed and released the Meta Llama 3 family of large language models (LLMs) based on the Transformer architecture.
* Model Architecture: Tr... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "model_name": "Meta-Llama-3-8B", "result": [{"type": "text-generation"}], "license_name": "llama3", "license_link": "LICENSE", "arxiv": 2307.09288, "base_model": "meta-llama/Meta-Llama-3-8B", "inference": false, "model... | Orneyfish/Meta-Llama-3-8B_F_16.gguf | null | [
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#gguf #facebook #meta #pytorch #llama #llama-3 #text-generation #en #base_model-meta-llama/Meta-Llama-3-8B #license-other #region-us
| # Meta-Llama-3-8B-GGUF
- This is a GGUF quantized version of Meta-Llama-3-8B.
## Model Details
* Meta developed and released the Meta Llama 3 family of large language models (LLMs) based on the Transformer architecture.
* Model Architecture: Transformer-based with 8.5 billion parameters.
* GGUF Quantization: Current... | [
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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. -->
# RM-HH-Gemma_harmless_human_20000_gemma2b
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/g... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/gemma-2b", "model-index": [{"name": "RM-HH-Gemma_harmless_human_20000_gemma2b", "results": []}]} | Holarissun/RM-HH-Gemma_harmless_human_20000_gemma2b | null | [
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"base_model:google/gemma-2b",
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#peft #safetensors #trl #reward-trainer #generated_from_trainer #base_model-google/gemma-2b #license-gemma #region-us
| RM-HH-Gemma\_harmless\_human\_20000\_gemma2b
============================================
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6196
* Accuracy: 0.6678
Model description
-----------------
More information n... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral7binstruct_summarize
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mi... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral7binstruct_summarize", "results": []}]} | ymath/mistral7binstruct_summarize | null | [
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"region:us"
] | null | 2024-04-19T17:24:39+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-Instruct-v0.2 #region-us
| mistral7binstruct\_summarize
============================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5578
Model description
-----------------
More information needed
Intended uses & limit... | [
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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | BWangila/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-19T17:24:52+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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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_cased_for_binary_sentiment_classification
This model is a fine-tuned version of [distilbert/distilbert-base-cased](ht... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert/distilbert-base-cased", "model-index": [{"name": "distilBert_cased_for_binary_sentiment_classification", "results": []}]} | ThoMyh/distilBert_cased_for_binary_sentiment_classification | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-19T17:25:07+00:00 | [] | [] | TAGS
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| distilBert\_cased\_for\_binary\_sentiment\_classification
=========================================================
This model is a fine-tuned version of distilbert/distilbert-base-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2352
* Accuracy: 0.923
* F1: 0.9199
Mod... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/mpasila/Meta-Llama-3-11.5B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show ... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["mergekit", "merge", "facebook", "meta", "pytorch", "llama", "llama-3"], "base_model": "mpasila/Meta-Llama-3-11.5B", "extra_gated_button_content": "Submit", "extra_gated_fields": {"Affiliation": "text", "By clicking Submit below I accept ... | mradermacher/Meta-Llama-3-11.5B-GGUF | null | [
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"license:other",
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"en"
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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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] |
automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small for Quran Recognition
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/w... | {"language": ["ara"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["AsemBadr/GP"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small for Quran Recognition", "results": []}]} | AsemBadr/final-whisper-for-initial-publish | null | [
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"whisper",
"automatic-speech-recognition",
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"ara",
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"base_model:openai/whisper-small",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-19T17:26:28+00:00 | [] | [
"ara"
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|
# Whisper Small for Quran Recognition
This model is a fine-tuned version of openai/whisper-small on the Quran_Reciters dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
##... | [
"# Whisper Small for Quran Recognition\n\nThis model is a fine-tuned version of openai/whisper-small on the Quran_Reciters dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
... | [
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null | null |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Mo... | {} | Saleh11623/Saleh | null | [
"arxiv:1910.09700",
"region:us"
] | null | 2024-04-19T17:26:37+00:00 | [
"1910.09700"
] | [] | TAGS
#arxiv-1910.09700 #region-us
|
# Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
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- Model type:
- Language(s) (NLP):
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text-generation | transformers |
# Model Card for Mistral-7B-Instruct-v0.2
The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an improved instruct fine-tuned version of [Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1).
For full details of this model please read our [paper](https://arxiv.org/abs/2310.0682... | {"license": "apache-2.0", "tags": ["finetuned"], "pipeline_tag": "text-generation", "inference": false} | ltaler01/Mistral-7B-Instruct-v0.2 | null | [
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"region:us"
] | null | 2024-04-19T17:29:53+00:00 | [
"2310.06825"
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|
# Model Card for Mistral-7B-Instruct-v0.2
The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an improved instruct fine-tuned version of Mistral-7B-Instruct-v0.1.
For full details of this model please read our paper and release blog post.
## Instruction format
In order to leverage instruction fine-tuning, y... | [
"# Model Card for Mistral-7B-Instruct-v0.2\n\nThe Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an improved instruct fine-tuned version of Mistral-7B-Instruct-v0.1.\n\nFor full details of this model please read our paper and release blog post.",
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text-generation | transformers |
# OpenVINO IR model with int8 quantization of llama-3-8B-Instruct
Model definition for LocalAI:
```
name: llama3
backend: transformers
parameters:
model: fakezeta/llama-3-8b-instruct-ov-int8
context_size: 8192
type: OVModelForCausalLM
template:
use_tokenizer_template: true
stopwords:
- "<|eot_id|>"
- "<|end_of_te... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "https://huggingface.co/meta-llama/Meta-Llama-3-8B/blob/main/LICENSE"} | fakezeta/llama-3-8b-instruct-ov-int8 | null | [
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"llama",
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"facebook",
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"llama-3",
"conversational",
"en",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-19T17:30:39+00:00 | [] | [
"en"
] | TAGS
#transformers #openvino #llama #text-generation #facebook #meta #pytorch #llama-3 #conversational #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| OpenVINO IR model with int8 quantization of llama-3-8B-Instruct
===============================================================
Model definition for LocalAI:
Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction ... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository.\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using t... | [
"TAGS\n#transformers #openvino #llama #text-generation #facebook #meta #pytorch #llama-3 #conversational #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
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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. -->
# UrduSum10
This model is a fine-tuned version of [ahmed0189/mT5-Arabic-text-summarization](https://huggingface.co/ahmed0189/mT5-A... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "UrduSum10", "results": []}]} | Alefiah/UrduSum10 | null | [
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"tensorboard",
"mt5",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-19T17:31:20+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #mt5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| UrduSum10
=========
This model is a fine-tuned version of ahmed0189/mT5-Arabic-text-summarization on the None dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
--------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1\n* mixed\\_precis... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# flant5-small-running-v3
This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/flan-t5-small", "model-index": [{"name": "flant5-small-running-v3", "results": []}]} | dtruong46me/flant5-small-running-v3 | null | [
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"t5",
"text2text-generation",
"generated_from_trainer",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-19T17:31:36+00:00 | [] | [] | TAGS
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|
# flant5-small-running-v3
This model is a fine-tuned version of google/flan-t5-small 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 hyperpara... | [
"# flant5-small-running-v3\n\nThis model is a fine-tuned version of google/flan-t5-small on an unknown dataset.",
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"## Training and evaluation data\n\nMore information needed",
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | wendy41/llama-3-user0-200 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-19T17:31:48+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... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="moczard/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional att... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | moczard/q-FrozenLake-v1-4x4-noSlippery | null | [
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"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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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": []} | galbitang/koalpacapoly-user0-200 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-19T17:33:22+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... | [
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text-generation | transformers | # Replete-AI/DevsDoCode-LLama-3-8b-Uncensored AWQ
## Model Summary
Project may of migrated to https://huggingface.co/DevsDoCode
| {"library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/DevsDoCode-LLama-3-8b-Uncensored-AWQ | null | [
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"AWQ",
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#transformers #safetensors #llama #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #conversational #text-generation-inference #region-us
| # Replete-AI/DevsDoCode-LLama-3-8b-Uncensored AWQ
## Model Summary
Project may of migrated to URL
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] |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral7binstruct_summarize
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral7binstruct_summarize", "results": []}]} | tdeshane/mistral7binstruct_summarize | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
| mistral7binstruct\_summarize
============================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4664
Model description
-----------------
More information needed
Intended uses & limit... | [
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null | null | # Clone the repo and use test.ipynb file
Install pkg
1. Pytorch
2. Matplotlib
3. Numpy
4. Ultralytics
5. opencv-python | {} | rakib72642/BUBT_Japan | null | [
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#region-us
| # Clone the repo and use URL file
Install pkg
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2. Matplotlib
3. Numpy
4. Ultralytics
5. opencv-python | [
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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": []} | ryanu/EEVE-10.8-BOOK-v0.2 | 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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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. -->
# lung-cancer-image-classification
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.c... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "lung-cancer-image-classification", "results": [{"task": {"type": "image-classification", "name": "... | ebmonser/lung-cancer-image-classification | null | [
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| lung-cancer-image-classification
================================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0177
* Precision: 0.9963
* Recall: 0.9963
* F1: 0.9963
* Accuracy: 0.9963
* Confusi... | [
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null | null |
Model reuplods for https://github.com/yl4579/StyleTTS-VC | {"license": "mit"} | ml-for-speech/styletts-vc | null | [
"license:mit",
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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 Llama-3 8b here: https://colab.research.google.com/drive/135ced7oHytdxu3N2DNe1Z0kqjyYIkDXp?usp=sharing
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord%20butto... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["unsloth", "transformers", "llama", "llama-3"]} | unsloth/llama-3-70b-Instruct-bnb-4bit | null | [
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| Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
============================================================================
We have a Google Colab Tesla T4 notebook for Llama-3 8b here: URL
<img src="URL width="200"/>
<img src="URL width="200"/>
<img src="URL width="200"/>
Finetune f... | [] | [
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | abrarhkml/bert-base-finetuned-pii-ner | null | [
"transformers",
"safetensors",
"bert",
"token-classification",
"arxiv:1910.09700",
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"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #bert #token-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | hgnoi/fine-tune-12 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | hgnoi/fine-tune-13 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | hgnoi/fine-tune-8 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="moczard/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/... | moczard/q-Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-19T17:42:26+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
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": []} | playgroundai/cogvlm_finetune_v4 | null | [
"transformers",
"safetensors",
"text-generation",
"custom_code",
"arxiv:1910.09700",
"autotrain_compatible",
"region:us"
] | null | 2024-04-19T17:48:02+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #text-generation #custom_code #arxiv-1910.09700 #autotrain_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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"## Model Details",
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null | adapter-transformers |
# Adapter `BigTMiami/pretrain_dapt_tapt_seq_bn_adpater` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness_TAPT_pretraining_dataset](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness_TAPT_pretraining_dataset/) dataset.
Th... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_helpfulness_TAPT_pretraining_dataset"]} | BigTMiami/pretrain_dapt_tapt_seq_bn_adpater | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_helpfulness_TAPT_pretraining_dataset",
"region:us"
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness_TAPT_pretraining_dataset #region-us
|
# Adapter 'BigTMiami/pretrain_dapt_tapt_seq_bn_adpater' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness_TAPT_pretraining_dataset dataset.
This adapter was created for usage with the Adapters library.
## Usage
First, install 'adapters':
Now, the adapt... | [
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null | null |
Model reuploads for https://github.com/MasayaKawamura/MB-iSTFT-VITS | {"license": "apache-2.0"} | ml-for-speech/MB-iSTFT-VITS | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-19T17:50:17+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | PFraud/BERT_Covid_Emotion_Classifier | null | [
"transformers",
"safetensors",
"distilbert",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-19T17:50:32+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #distilbert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-classification | bertopic |
# impf_ukrain_postcov_all_sns_topics_umap_lok_hdbscan_lok_ctfidf_seed_17_prob
This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
## Usage
To use this mode... | {"library_name": "bertopic", "tags": ["bertopic"], "pipeline_tag": "text-classification"} | RolMax/impf_ukrain_postcov_all_sns_topics_umap_lok_hdbscan_lok_ctfidf_seed_17_prob | null | [
"bertopic",
"text-classification",
"region:us"
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#bertopic #text-classification #region-us
| impf\_ukrain\_postcov\_all\_sns\_topics\_umap\_lok\_hdbscan\_lok\_ctfidf\_seed\_17\_prob
========================================================================================
This is a BERTopic model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable... | [] | [
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null | adapter-transformers |
# Adapter `BigTMiami/micro_helpfulness_tapt_pretrain_seq_bn_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset_condensed](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset_condensed/) d... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset_condensed"]} | BigTMiami/micro_helpfulness_tapt_pretrain_seq_bn_adapter | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_MICRO_helpfulness_dataset_condensed",
"region:us"
] | null | 2024-04-19T17:52:01+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset_condensed #region-us
|
# Adapter 'BigTMiami/micro_helpfulness_tapt_pretrain_seq_bn_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset_condensed dataset and includes a prediction head for masked lm.
This adapter was created for usage with the Adapters library... | [
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | Niggendar/AnimeLike2D_v11Pruned | null | [
"diffusers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-19T17:54:34+00:00 | [
"1910.09700"
] | [] | TAGS
#diffusers #safetensors #arxiv-1910.09700 #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
... | [
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null | espnet |
## ESPnet2 ST model
### `espnet/iwslt24_indic_en_ta_bpe_tc4000_use_wandbtrue`
This model was trained by cromz22 using iwslt24_indic recipe in [espnet](https://github.com/espnet/espnet/).
### Demo: How to use in ESPnet2
Follow the [ESPnet installation instructions](https://espnet.github.io/espnet/installation.html)... | {"language": ["en", "bn"], "license": "cc-by-4.0", "tags": ["espnet", "audio", "speech-translation"], "datasets": ["iwslt24_indic"]} | espnet/iwslt24_indic_en_ta_bpe_tc4000 | null | [
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"speech-translation",
"en",
"bn",
"dataset:iwslt24_indic",
"arxiv:1804.00015",
"license:cc-by-4.0",
"region:us"
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"1804.00015"
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"en",
"bn"
] | TAGS
#espnet #audio #speech-translation #en #bn #dataset-iwslt24_indic #arxiv-1804.00015 #license-cc-by-4.0 #region-us
| ESPnet2 ST model
----------------
### 'espnet/iwslt24\_indic\_en\_ta\_bpe\_tc4000\_use\_wandbtrue'
This model was trained by cromz22 using iwslt24\_indic recipe in espnet.
### Demo: How to use in ESPnet2
Follow the ESPnet installation instructions
if you haven't done that already.
RESULTS
=======
Environmen... | [
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text-generation | null |
# Meta Llama 3 8B Instruct - llamafile
This repository contains executable weights (which we call
[llamafiles](https://github.com/Mozilla-Ocho/llamafile)) that run on
Linux, MacOS, Windows, FreeBSD, OpenBSD, and NetBSD for AMD64 and ARM64.
- Model creator: [Meta](https://llama.meta.com/)
- Original model: [meta-llam... | {"language": ["en"], "license": "other", "tags": ["llama", "llama-3", "llamafile"], "model_creator": "Meta", "quantized_by": "jartine", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "prompt_template": "<|begin_of_text|><|star... | jartine/Meta-Llama-3-8B-Instruct-llamafile | null | [
"llamafile",
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"llama-3",
"text-generation",
"en",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:other",
"region:us"
] | null | 2024-04-19T17:58:47+00:00 | [] | [
"en"
] | TAGS
#llamafile #llama #llama-3 #text-generation #en #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #region-us
| Meta Llama 3 8B Instruct - llamafile
====================================
This repository contains executable weights (which we call
llamafiles) that run on
Linux, MacOS, Windows, FreeBSD, OpenBSD, and NetBSD for AMD64 and ARM64.
* Model creator: Meta
* Original model: meta-llama/Meta-Llama-3-8B-Instruct
Quicksta... | [
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"#### Transformers AutoModelForCausalLM",
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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/Sao10K/Skadi-Mixtral-v1
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Skadi-Mixtral-v1-... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["merge"], "base_model": "Sao10K/Skadi-Mixtral-v1", "quantized_by": "mradermacher"} | mradermacher/Skadi-Mixtral-v1-i1-GGUF | null | [
"transformers",
"gguf",
"merge",
"en",
"base_model:Sao10K/Skadi-Mixtral-v1",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-19T18:01:34+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #en #base_model-Sao10K/Skadi-Mixtral-v1 #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| 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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] |
reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-pixelcopter", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelcopter-PL... | Kommunarus/Reinforce-pixelcopter | null | [
"Pixelcopter-PLE-v0",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-19T18:02:20+00:00 | [] | [] | TAGS
#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
"# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL"
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"TAGS\n#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n",
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"TAGS\n#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit 4 of the De... |
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": []} | hi000000/insta_upnormal-llama3_100 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-19T18:04:05+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",
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text-generation | transformers |
Model accordingly to [LLama-3](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct/tree/main)
```
Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instructi... | {"tags": ["text-generation-inference", "llama3", "4-bit precision - Safetensors"]} | cdawg/llama-3-70b-instruct-awq | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"text-generation-inference",
"llama3",
"4-bit precision - Safetensors",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"4-bit",
"region:us"
] | null | 2024-04-19T18:06:34+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #text-generation-inference #llama3 #4-bit precision - Safetensors #conversational #autotrain_compatible #endpoints_compatible #4-bit #region-us
|
Model accordingly to LLama-3
Quant Config : { "zero_point": True, "q_group_size": 128, "w_bit": 4, "version": "GEMM" } | [] | [
"TAGS\n#transformers #safetensors #llama #text-generation #text-generation-inference #llama3 #4-bit precision - Safetensors #conversational #autotrain_compatible #endpoints_compatible #4-bit #region-us \n"
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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. -->
# Not-so-bright-AGI-v1
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the gene... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "google/gemma-2b", "model-index": [{"name": "Not-so-bright-AGI-v1", "results": []}]} | yuriachermann/Not-so-bright-AGI-v1 | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:google/gemma-2b",
"license:gemma",
"region:us"
] | null | 2024-04-19T18:09:30+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-google/gemma-2b #license-gemma #region-us
| Not-so-bright-AGI-v1
====================
This model is a fine-tuned version of google/gemma-2b on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0548
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: 4\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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text-generation | null |
## Exllama v2 Quantizations of Meta-Llama-3-8B-Instruct with <|eot_id|> set to special=False
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.19">turboderp's ExLlamaV2 v0.0.19</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for ... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | bartowski/Meta-Llama-3-8B-Instruct-special-eot-false-exl2 | null | [
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"pytorch",
"llama",
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"en"
] | TAGS
#facebook #meta #pytorch #llama #llama-3 #text-generation #en #license-other #region-us
| Exllama v2 Quantizations of Meta-Llama-3-8B-Instruct with <|eot\_id|> set to special=False
------------------------------------------------------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.19 for quantization.
**The "main" branch only contains the URL, download one of the other branches f... | [] | [
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text-generation | transformers | # mlabonne/Llama-3-12B AWQ
- Model creator: [mlabonne](https://huggingface.co/mlabonne)
- Original model: [Llama-3-12B](https://huggingface.co/mlabonne/Llama-3-12B)
## Model Summary
Llama-3-12B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6Gzg... | {"license": "other", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "merge", "mergekit", "lazymergekit"], "base_model": ["meta-llama/Meta-Llama-3-8B", "meta-llama/Meta-Llama-3-8B"], "pipeline_tag": "text-generation", "inference": false, "quant... | solidrust/Llama-3-12B-AWQ | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"4-bit",
"AWQ",
"autotrain_compatible",
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"lazymergekit",
"conversational",
"base_model:meta-llama/Meta-Llama-3-8B",
"license:other",
"text-generation-inference",
"region:us"
] | null | 2024-04-19T18:10:05+00:00 | [] | [] | TAGS
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| # mlabonne/Llama-3-12B AWQ
- Model creator: mlabonne
- Original model: Llama-3-12B
## Model Summary
Llama-3-12B is a merge of the following models using LazyMergekit:
* meta-llama/Meta-Llama-3-8B
* meta-llama/Meta-Llama-3-8B
| [
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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. -->
# coinplusfire_chinese-alpaca-2-7b_full
This model is a fine-tuned version of [hfl/chinese-alpaca-2-7b](https://huggingface.co/hfl... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "hfl/chinese-alpaca-2-7b", "model-index": [{"name": "coinplusfire_chinese-alpaca-2-7b_full", "results": []}]} | coinplusfire/coinplusfire_chinese-alpaca-2-7b_full | null | [
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"safetensors",
"generated_from_trainer",
"base_model:hfl/chinese-alpaca-2-7b",
"license:apache-2.0",
"region:us"
] | null | 2024-04-19T18:10:18+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-hfl/chinese-alpaca-2-7b #license-apache-2.0 #region-us
| coinplusfire\_chinese-alpaca-2-7b\_full
=======================================
This model is a fine-tuned version of hfl/chinese-alpaca-2-7b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5419
Model description
-----------------
More information needed
Intended uses... | [
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text-generation | transformers |
# Development Llama 3 Instruct 8B build without the ".assistant" on exl2
Out of the box exllama v2 support for removing the **.assistant** tag during llama 3 instruct text responses. This was converted to exllamav2 from [Llama 3 Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct).
```
<|begin_of_te... | {"language": ["en"], "license": "other", "tags": ["llama", "llama-3", "exllamav2", "exl2", "special_tokens", "instruct"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April ... | matlok/lok-instruct-8b-llm3-exl2-8.0bpw | null | [
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"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
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#transformers #safetensors #llama #text-generation #llama-3 #exllamav2 #exl2 #special_tokens #instruct #conversational #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Development Llama 3 Instruct 8B build without the ".assistant" on exl2
======================================================================
Out of the box exllama v2 support for removing the .assistant tag during llama 3 instruct text responses. This was converted to exllamav2 from Llama 3 Instruct.
Model Details... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using tr... | [
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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": []} | jspr/smut_llama_8b_merged_ax | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-19T18:12:22+00:00 | [
"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | jettjaniak/tokenizer0 | null | [
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## Model Details
### Model Description
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text-generation | transformers | # MaziyarPanahi/Llama-3-11B-Instruct-v0.1 AWQ
- Model creator: [MaziyarPanahi](https://huggingface.co/MaziyarPanahi)
- Original model: [Llama-3-11B-Instruct-v0.1](https://huggingface.co/MaziyarPanahi/Llama-3-11B-Instruct-v0.1)
<img src="./llama-3-merges.webp" alt="Goku 8x22B v0.1 Logo" width="500" style="margin-left:... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "mergekit", "merge", "facebook", "meta", "pytorch", "llama", "llama-3"], "model_name": "Llama-3-11B-Instruct-v0.1", "base_model": "meta-llama/Meta-Llama-3-... | solidrust/Llama-3-11B-Instruct-v0.1-AWQ | null | [
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| # MaziyarPanahi/Llama-3-11B-Instruct-v0.1 AWQ
- Model creator: MaziyarPanahi
- Original model: Llama-3-11B-Instruct-v0.1
<img src="./URL" alt="Goku 8x22B v0.1 Logo" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
## Model Summary
This model is a self-merge of 'meta-llama/Meta-Llama-3-8B... | [
"# MaziyarPanahi/Llama-3-11B-Instruct-v0.1 AWQ\n\n- Model creator: MaziyarPanahi\n- Original model: Llama-3-11B-Instruct-v0.1\n\n<img src=\"./URL\" alt=\"Goku 8x22B v0.1 Logo\" width=\"500\" style=\"margin-left:'auto' margin-right:'auto' display:'block'\"/>",
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null | espnet |
## ESPnet2 ST model
### `espnet/iwslt24_indic_en_hi_bpe_tc4000_use_wandbtrue`
This model was trained by cromz22 using iwslt24_indic recipe in [espnet](https://github.com/espnet/espnet/).
### Demo: How to use in ESPnet2
Follow the [ESPnet installation instructions](https://espnet.github.io/espnet/installation.html)... | {"language": ["en", "bn"], "license": "cc-by-4.0", "tags": ["espnet", "audio", "speech-translation"], "datasets": ["iwslt24_indic"]} | espnet/iwslt24_indic_en_hi_bpe_tc4000 | null | [
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| ESPnet2 ST model
----------------
### 'espnet/iwslt24\_indic\_en\_hi\_bpe\_tc4000\_use\_wandbtrue'
This model was trained by cromz22 using iwslt24\_indic recipe in espnet.
### Demo: How to use in ESPnet2
Follow the ESPnet installation instructions
if you haven't done that already.
RESULTS
=======
Environmen... | [
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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": []} | sai1881/check_for_math | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | eagle0504/OrpoLlama-3-8B | 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 |
This is a simple experiment using geman ORPO training for one epoch using qlora and unsloth on [Vezora/Mistral-22B-v0.2](https://huggingface.coVezora/Mistral-22B-v0.2) | {"language": ["de", "en"], "license": "apache-2.0", "datasets": ["johannhartmann/steroids", "johannhartmann/oh25_mistral_dpo_de"]} | johannhartmann/mistral22b_orpo_de | null | [
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text-generation | transformers | # MaziyarPanahi/Llama-3-13B-Instruct-v0.1 AWQ
- Model creator: [MaziyarPanahi](https://huggingface.co/MaziyarPanahi)
- Original model: [Llama-3-13B-Instruct-v0.1](https://huggingface.co/MaziyarPanahi/Llama-3-13B-Instruct-v0.1)
<img src="./llama-3-merges.webp" alt="Goku 8x22B v0.1 Logo" width="500" style="margin-left:... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "mergekit", "merge", "facebook", "meta", "pytorch", "llama", "llama-3"], "model_name": "Llama-3-13B-Instruct-v0.1", "base_model": "meta-llama/Meta-Llama-3-... | solidrust/Llama-3-13B-Instruct-v0.1-AWQ | null | [
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| # MaziyarPanahi/Llama-3-13B-Instruct-v0.1 AWQ
- Model creator: MaziyarPanahi
- Original model: Llama-3-13B-Instruct-v0.1
<img src="./URL" alt="Goku 8x22B v0.1 Logo" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
## Model Summary
This model is a self-merge of 'meta-llama/Meta-Llama-3-8B... | [
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null | adapter-transformers |
# Adapter `BigTMiami/pretrain_dapt_tapt_unipelt_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness_TAPT_pretraining_dataset](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness_TAPT_pretraining_dataset/) dataset.
T... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_helpfulness_TAPT_pretraining_dataset"]} | BigTMiami/pretrain_dapt_tapt_unipelt_adapter | null | [
"adapter-transformers",
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|
# Adapter 'BigTMiami/pretrain_dapt_tapt_unipelt_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness_TAPT_pretraining_dataset dataset.
This adapter was created for usage with the Adapters library.
## Usage
First, install 'adapters':
Now, the adap... | [
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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": []} | hi000000/insta_upnormal-llama-koen_80 | null | [
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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
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | jspr/smut_llama_8b_peft_ax | null | [
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object-detection | 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": []} | sekhharr/detr_finetuned_v11_last_checkpoint | null | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | daedalus16/bert-M1b-textclassification | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/sad_pepe_31.0 | null | [
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# Model Card for Model ID
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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. -->
# UrduSum5k
This model is a fine-tuned version of [ahmed0189/mT5-Arabic-text-summarization](https://huggingface.co/ahmed0189/mT5-A... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "UrduSum5k", "results": []}]} | Alefiah/UrduSum5k | null | [
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| UrduSum5k
=========
This model is a fine-tuned version of ahmed0189/mT5-Arabic-text-summarization on the None dataset.
It achieves the following results on the evaluation set:
* Loss: nan
* Rouge1: 0.0
* Rouge2: 0.0
* Rougel: 0.0
* Rougelsum: 0.0
* Gen Len: 127.0
Model description
-----------------
More informa... | [
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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": []} | artixjain/mistral5epoch | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tom-brady/sn6_240 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small te - Pravalika Bollam
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/w... | {"language": ["te"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_0"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small te - Pravalika Bollam", "results": []}]} | Pravalika56/my_model_directory | null | [
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|
# Whisper Small te - Pravalika Bollam
This model is a fine-tuned version of openai/whisper-small on the Common Voice 16 dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# T5_base_NASA_ADS_title_v5
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
I... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-base", "model-index": [{"name": "T5_base_NASA_ADS_title_v5", "results": []}]} | Swarnava/T5_base_NASA_ADS_title_v5 | null | [
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| T5\_base\_NASA\_ADS\_title\_v5
==============================
This model is a fine-tuned version of t5-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7910
* Rouge1: 0.4285
* Rouge2: 0.2147
* Rougel: 0.3712
* Rougelsum: 0.3711
* Gen Len: 16.3966
Model description
-----... | [
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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": []} | Yasusan/Llama_221_111 | 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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object-detection | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
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### 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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visual-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. -->
# vilt_finetuned_200
This model is a fine-tuned version of [dandelin/vilt-b32-mlm](https://huggingface.co/dandelin/vilt-b32-mlm) o... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["vqa"], "base_model": "dandelin/vilt-b32-mlm", "model-index": [{"name": "vilt_finetuned_200", "results": []}]} | kp-11/vilt_finetuned_200 | null | [
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"base_model:dandelin/vilt-b32-mlm",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-19T18:41:22+00:00 | [] | [] | TAGS
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|
# vilt_finetuned_200
This model is a fine-tuned version of dandelin/vilt-b32-mlm on the vqa dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
... | [
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"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
... | [
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text-generation | transformers | # MaziyarPanahi/Llama-3-16B-Instruct-v0.1 AWQ
- Model creator: [MaziyarPanahi](https://huggingface.co/MaziyarPanahi)
- Original model: [Llama-3-16B-Instruct-v0.1](https://huggingface.co/MaziyarPanahi/Llama-3-16B-Instruct-v0.1)
<img src="./llama-3-merges.webp" alt="Goku 8x22B v0.1 Logo" width="500" style="margin-left:... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible - mergekit - merge - facebook - meta - pytorch - llama - llama-3"], "model_name": "Llama-3-16B-Instruct-v0.1", "base_model": "MaziyarPanahi/Llama-3-11B-Instr... | solidrust/Llama-3-16B-Instruct-v0.1-AWQ | null | [
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| # MaziyarPanahi/Llama-3-16B-Instruct-v0.1 AWQ
- Model creator: MaziyarPanahi
- Original model: Llama-3-16B-Instruct-v0.1
<img src="./URL" alt="Goku 8x22B v0.1 Logo" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
## Model Summary
This model is a self-merge of 'MaziyarPanahi/Llama-3-11B-... | [
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"## Model Summary\n\nThis model is a self-merge of 'Ma... | [
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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": []} | kshitij230/llama2-sentiment-analysis | null | [
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"1910.09700"
] | [] | TAGS
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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text-generation | transformers |
# 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": []} | Yasusan/Llama_221 | null | [
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"1910.09700"
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#transformers #safetensors #llama #text-generation #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:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Vanessasml/cyber-risk-llama-3-8b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not... | {"language": ["en"], "library_name": "transformers", "tags": ["finance", "supervision", "cyber risk", "cybersecurity", "cyber threats", "SFT", "LoRA", "A100GPU"], "datasets": ["Vanessasml/cybersecurity_32k_instruction_input_output"], "base_model": "Vanessasml/cyber-risk-llama-3-8b", "quantized_by": "mradermacher"} | mradermacher/cyber-risk-llama-3-8b-GGUF | null | [
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] | null | 2024-04-19T18:47:31+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 | 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": []} | nuebaek/komt_mistral_mss_user_111_max_steps_100 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-19T18:48:59+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... | [
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