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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-AllMix_helpful_gpt3_20000_gemma2b_shuffleFalse_extractchosenFalse
This model is a fine-tuned version of [google/gemma-2b](... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/gemma-2b", "model-index": [{"name": "RM-HH-AllMix_helpful_gpt3_20000_gemma2b_shuffleFalse_extractchosenFalse", "results": []}]} | Holarissun/RM-HH-AllMix_helpful_gpt3_20000_gemma2b_shuffleFalse_extractchosenFalse | null | [
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| RM-HH-AllMix\_helpful\_gpt3\_20000\_gemma2b\_shuffleFalse\_extractchosenFalse
=============================================================================
This model is a fine-tuned version of google/gemma-2b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0839
* Accuracy: 0... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-cartpole_32_1e-3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics... | dhajnes/Reinforce-cartpole_32_1e-3 | null | [
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#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | DocDuck/ru-t5-sber-large-2 | null | [
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#transformers #safetensors #t5 #text2text-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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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": []} | chinmayc3/codellama-sql-7b | null | [
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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":... | jeliasherrero/a2c-PandaReachDense-v3 | null | [
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"deep-reinforcement-learning",
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#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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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Aleatoric_tiny_0.4_Seed101 | null | [
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"arxiv:1910.09700",
"base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"region:us"
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#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
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## Model Details
### Model Description
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### Model Sources [optional]
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_Aleatoric_tiny_0.4_Seed101 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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null | null | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/Meta-Llama-3-8B-Instruct-GGUF-Imatrix-smashed | null | [
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#gguf #pruna-ai #region-us
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[](URL target=)
![Twitter](URL
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This repo contains GGUF versions of the meta-llama/Meta-Llama-3-8B-Instruct model.
----------------------------------------------------------------------------------
Simply make AI models cheaper, smaller, faster, a... | [
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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": []} | khyat/vicuna_rlhf_v2 | null | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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### Model Sources [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": []} | satyacharan/SQL_codellama_finetuned | 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 |
<!-- 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. -->
# Meta-Llama-3-8B-Instruct_esnli_5000_lr2e-6_3ep
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https... | {"license": "other", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Meta-Llama-3-8B-Instruct_esnli_5000_lr2e-6_3ep", "results": []}]} | mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_lr2e-6_3ep | null | [
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|
# Meta-Llama-3-8B-Instruct_esnli_5000_lr2e-6_3ep
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Trai... | [
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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": []} | vietgpt/Phi-3-mini | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
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- Model type:
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
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- llm_int8_threshold: 6.0
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translation | 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. -->
# marian-finetuned-kde4-en-to-fr
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsink... | {"license": "apache-2.0", "tags": ["translation", "generated_from_trainer"], "metrics": ["bleu"], "base_model": "Helsinki-NLP/opus-mt-en-fr", "model-index": [{"name": "marian-finetuned-kde4-en-to-fr", "results": []}]} | emath/marian-finetuned-kde4-en-to-fr | null | [
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|
# marian-finetuned-kde4-en-to-fr
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9736
- Bleu: 40.8840
## Model description
More information needed
## Intended uses & limitations
More information needed
##... | [
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image-classification | null | AdHoc classification head built on top of EfficentnetV2-M-21k feature extractor using [CrossPrism](https://apps.apple.com/us/app/crossprism-photo-labeler/id1638429352?mt=12) on MacOS.
YouTube demo of the classifier over videos: [https://youtu.be/qhpP73sYn6k](https://youtu.be/qhpP73sYn6k) | {"license": "apache-2.0", "tags": ["surveillance", "tesla", "sentry"], "pipeline_tag": "image-classification"} | crossprism/tesla_sentry_dings | null | [
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"surveillance",
"tesla",
"sentry",
"image-classification",
"license:apache-2.0",
"has_space",
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#coreml #surveillance #tesla #sentry #image-classification #license-apache-2.0 #has_space #region-us
| AdHoc classification head built on top of EfficentnetV2-M-21k feature extractor using CrossPrism on MacOS.
YouTube demo of the classifier over videos: URL | [] | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-all
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-all", "results": []}]} | OscarNav/xlm-roberta-base-finetuned-panx-all | null | [
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#transformers #pytorch #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-all
===================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1733
* F1: 0.8542
Model description
-----------------
More information needed
Intended uses & l... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# iter1_safe
This model is a fine-tuned version of [AmberYifan/safe-spin-iter0](https://huggingface.co/AmberYifan/safe-spin-iter0)... | {"license": "apache-2.0", "tags": ["alignment-handbook", "generated_from_trainer"], "datasets": ["AmberYifan/spin_iter0", "AmberYifan/spin_iter1", "AmberYifan/safe_spin_iter0", "AmberYifan/safe_spin_iter1"], "base_model": "AmberYifan/safe-spin-iter0", "model-index": [{"name": "iter1_safe", "results": []}]} | AmberYifan/safe-spin-iter1 | null | [
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"dataset:AmberYifan/safe_spin_iter0",
"dataset:AmberYifan/safe_spin_iter1",
"base_model:AmberYifan/sa... | null | 2024-04-23T19:02:23+00:00 | [] | [] | TAGS
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# iter1_safe
This model is a fine-tuned version of AmberYifan/safe-spin-iter0 on the AmberYifan/spin_iter0, the AmberYifan/spin_iter1, the AmberYifan/safe_spin_iter0 and the AmberYifan/safe_spin_iter1 datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
... | [
"# iter1_safe\n\nThis model is a fine-tuned version of AmberYifan/safe-spin-iter0 on the AmberYifan/spin_iter0, the AmberYifan/spin_iter1, the AmberYifan/safe_spin_iter0 and the AmberYifan/safe_spin_iter1 datasets.",
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text-generation | transformers |
# sphynx-7B-ties
sphynx-7B-ties is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Weyaxi/Einstein-v6-7B](https://huggingface.co/Weyaxi/Einstein-v6-7B)
* [S-miguel/The-Trinity-Coder-7B](https://huggingface.co/S-miguel/The-... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "Weyaxi/Einstein-v6-7B", "S-miguel/The-Trinity-Coder-7B"], "base_model": ["Weyaxi/Einstein-v6-7B", "S-miguel/The-Trinity-Coder-7B"]} | DreadPoor/sphynx-7B-ties | null | [
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"autotrain_compat... | null | 2024-04-23T19:02:36+00:00 | [] | [] | TAGS
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# sphynx-7B-ties
sphynx-7B-ties is a merge of the following models using LazyMergekit:
* Weyaxi/Einstein-v6-7B
* S-miguel/The-Trinity-Coder-7B
## Configuration
## Usage
| [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mistral-7B-Instruct-v0.2_esnli_5000_lr2e-6_3ep
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https:... | {"tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-7B-Instruct-v0.2_esnli_5000_lr2e-6_3ep", "results": []}]} | mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_lr2e-6_3ep | null | [
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"region:us"
] | null | 2024-04-23T19:05:43+00:00 | [] | [] | TAGS
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|
# Mistral-7B-Instruct-v0.2_esnli_5000_lr2e-6_3ep
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Train... | [
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text-to-image | diffusers |
# API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "3danimationdiffusion"
Coding in... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/3danimationdiffusion | null | [
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|
# API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "3danimationdiffusion"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link: View mod... | [
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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. -->
# convnext-base-384-22k-1k-Kontur-competition-1.3K
This model is a fine-tuned version of [facebook/convnext-base-384-22k-1k](https... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "facebook/convnext-base-384-22k-1k", "model-index": [{"name": "convnext-base-384-22k-1k-Kontur-competition-1.3K", "results": []}]} | t1msan/convnext-base-384-22k-1k-Kontur-competition-1.3K | null | [
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| convnext-base-384-22k-1k-Kontur-competition-1.3K
================================================
This model is a fine-tuned version of facebook/convnext-base-384-22k-1k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0003
Model description
-----------------
More i... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/dumbo-llamalfg7 | 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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image-segmentation | 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. -->
# segformer-b2-p142-cvat-2
This model is a fine-tuned version of [nvidia/mit-b2](https://huggingface.co/nvidia/mit-b2) on the vign... | {"license": "other", "tags": ["vision", "image-segmentation", "generated_from_trainer"], "base_model": "nvidia/mit-b2", "model-index": [{"name": "segformer-b2-p142-cvat-2", "results": []}]} | vigneshgs7/segformer-b2-p142-cvat-2 | null | [
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| segformer-b2-p142-cvat-2
========================
This model is a fine-tuned version of nvidia/mit-b2 on the vigneshgs7/segformer\_open\_cv\_RGB\_L\_0\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0222
* Mean Iou: 0.4959
* Mean Accuracy: 0.9919
* Overall Accuracy: 0.9919
* Accuracy ... | [
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text-generation | transformers | # Phi-3-mini-4k-instruct - bnb 4bit
- Model creator: [Microsoft](https://huggingface.co/microsoft)
- Original model: [Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct)
## Description
This model is 4bit quantized version of [Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-... | {"license": "other", "tags": ["Phi-3-mini-4k-instruct"], "model_name": "Phi-3-mini-4k-instruct", "base_model": "microsoft/Phi-3-mini-4k-instruct", "license_name": "mit", "license_link": "https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/raw/main/LICENSE", "inference": false, "model_creator": "Microsoft", "quantiz... | leliuga/Phi-3-mini-4k-instruct-bnb-4bit | null | [
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| # Phi-3-mini-4k-instruct - bnb 4bit
- Model creator: Microsoft
- Original model: Phi-3-mini-4k-instruct
## Description
This model is 4bit quantized version of Phi-3-mini-4k-instruct using bitsandbytes. It's designed for fine-tuning! The PAD token is set as "<|endoftext|>". | [
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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": []} | Gutema/ARFineTuneBert_V2 | 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-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [beowolx/CodeNinja-1.0-OpenChat-7B](https://... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["beowolx/CodeNinja-1.0-OpenChat-7B", "yanolja/EEVE-Korean-Instruct-10.8B-v1.0"]} | mergekit-community/mergekit-slerp-ieauevl | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* beowolx/CodeNinja-1.0-OpenChat-7B
* yanolja/EEVE-Korean-Instruct-10.8B-v1.0
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text-generation | transformers | # Phi-3-mini-128k-instruct - bnb 4bit
- Model creator: [Microsoft](https://huggingface.co/microsoft)
- Original model: [Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct)
## Description
This model is 4bit quantized version of [Phi-3-mini-128k-instruct](https://huggingface.co/microsof... | {"license": "other", "tags": ["Phi-3-mini-128k-instruct"], "model_name": "Phi-3-mini-128k-instruct", "base_model": "microsoft/Phi-3-mini-128k-instruct", "license_name": "mit", "license_link": "https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/raw/main/LICENSE", "inference": false, "model_creator": "Microsoft", ... | leliuga/Phi-3-mini-128k-instruct-bnb-4bit | null | [
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| # Phi-3-mini-128k-instruct - bnb 4bit
- Model creator: Microsoft
- Original model: Phi-3-mini-128k-instruct
## Description
This model is 4bit quantized version of Phi-3-mini-128k-instruct using bitsandbytes. It's designed for fine-tuning! The PAD token is set as "<|endoftext|>". | [
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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. -->
# code-llama-7b-text-to-sql
This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/Cod... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "codellama/CodeLlama-7b-hf", "model-index": [{"name": "code-llama-7b-text-to-sql", "results": []}]} | equerze/code-llama-7b-text-to-sql | null | [
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|
# code-llama-7b-text-to-sql
This model is a fine-tuned version of codellama/CodeLlama-7b-hf on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | EdBerg/mental-Meta-Llama-3-8B-scientific-dataset | null | [
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null | transformers |
# Uploaded model
- **Developed by:** kaushik3009
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | kaushik3009/unsloth_alpaca_llama3 | null | [
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# Uploaded model
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- License: apache-2.0
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This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CNEC_2_0_Supertypes_robeczech-base
This model is a fine-tuned version of [ufal/robeczech-base](https://huggingface.co/ufal/robec... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "datasets": ["cnec"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "ufal/robeczech-base", "model-index": [{"name": "CNEC_2_0_Supertypes_robeczech-base", "results": [{"task": {"type": "token-classification", "name": "Token Classifi... | stulcrad/CNEC_2_0_Supertypes_robeczech-base | null | [
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| CNEC\_2\_0\_Supertypes\_robeczech-base
======================================
This model is a fine-tuned version of ufal/robeczech-base on the cnec dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2853
* Precision: 0.8543
* Recall: 0.9013
* F1: 0.8772
* Accuracy: 0.9623
Model descriptio... | [
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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": []} | DreamOnRain/mamba-130m-mathqa | 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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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers | The model uses only sign **ӏ** for explosive consonants (small cyrillic palochka letter)!
The model was teached by folloving David Dale's instructions for erzya language (https://arxiv.org/abs/2209.09368) and using code from his repository. Commentaries in Russian were left untouched.
```python
import torch
from tra... | {"language": ["ce", "ru", "en"], "license": "mit"} | NM-development/LaBSE-en-ru-ce-prototype | null | [
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| The model uses only sign ӏ for explosive consonants (small cyrillic palochka letter)!
The model was teached by folloving David Dale's instructions for erzya language (URL and using code from his repository. Commentaries in Russian were left untouched.
Download the model from Huggingface repository:
Assign files wi... | [] | [
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null | transformers |
# Uploaded model
- **Developed by:** Sarojj
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama 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/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Sarojj/llm3-q4_K_M | null | [
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# Uploaded model
- Developed by: Sarojj
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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image-feature-extraction | null | A CoreML model that takes normalized (0-1.0) 480x480 images and outputs a feature vector of size 1280.
Converted from [https://www.kaggle.com/models/google/efficientnet-v2/tensorFlow2/imagenet21k-m-feature-vector](https://www.kaggle.com/models/google/efficientnet-v2/tensorFlow2/imagenet21k-m-feature-vector) | {"license": "apache-2.0", "pipeline_tag": "image-feature-extraction"} | crossprism/efficientnetv2-21k-fv-m | null | [
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| A CoreML model that takes normalized (0-1.0) 480x480 images and outputs a feature vector of size 1280.
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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": []} | Reem333/Citaion-Classifier | null | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
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# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CNEC_1_1_ext_robeczech-base
This model is a fine-tuned version of [ufal/robeczech-base](https://huggingface.co/ufal/robeczech-ba... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "datasets": ["cnec"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "ufal/robeczech-base", "model-index": [{"name": "CNEC_1_1_ext_robeczech-base", "results": [{"task": {"type": "token-classification", "name": "Token Classification"... | stulcrad/CNEC_1_1_ext_robeczech-base | null | [
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| CNEC\_1\_1\_ext\_robeczech-base
===============================
This model is a fine-tuned version of ufal/robeczech-base on the cnec dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1985
* Precision: 0.8639
* Recall: 0.8990
* F1: 0.8811
* Accuracy: 0.9633
Model description
------------... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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": []} | samzirbo/mT5.tokenizer.en-es.16K.10M | null | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Meta-Llama-3-8B-Instruct_esnli_5000_lr2e-6_4ep
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https... | {"license": "other", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Meta-Llama-3-8B-Instruct_esnli_5000_lr2e-6_4ep", "results": []}]} | mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_lr2e-6_4ep | null | [
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|
# Meta-Llama-3-8B-Instruct_esnli_5000_lr2e-6_4ep
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CNEC_2_0_ext_robeczech-base
This model is a fine-tuned version of [ufal/robeczech-base](https://huggingface.co/ufal/robeczech-ba... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "datasets": ["cnec"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "ufal/robeczech-base", "model-index": [{"name": "CNEC_2_0_ext_robeczech-base", "results": [{"task": {"type": "token-classification", "name": "Token Classification"... | stulcrad/CNEC_2_0_ext_robeczech-base | null | [
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| CNEC\_2\_0\_ext\_robeczech-base
===============================
This model is a fine-tuned version of ufal/robeczech-base on the cnec dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1663
* Precision: 0.8633
* Recall: 0.8933
* F1: 0.8780
* Accuracy: 0.9703
Model description
------------... | [
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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": []} | zura1101/flant5_peft_model_emotion_detection | null | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Aleatoric_tiny_0.4_Seed102 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | jspr/smut_llama_8b_32k_peft_ax | 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": []} | cilantro9246/pm4av6d | 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": []} | jspr/smut_llama_8b_32k_merged_ax | null | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"tags": ["generated_from_trainer"], "base_model": "NousResearch/Meta-Llama-3-8B", "model-index": [{"name": "LLAMA-3-8B-SQL-CREATE-CONTEXT", "results": []}]} | artificialguybr/llama3-8b-sql-create-context | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
LLAMA 3 8B SQL CREATE CONTEXT
=============================
Thanks to URL for the GPU Support!
This model is a fine-tuned version of NousResearch/Meta-Llama-3-8B on the b-mc2/sql-create-context datas... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama-7b-hf-platypus-lamini-vxxiii-chat-real_2
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingf... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "llama-7b-hf-platypus-lamini-vxxiii-chat-real_2", "results": []}]} | NassimB/llama-7b-hf-platypus-lamini-vxxiii-chat-real_2 | null | [
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|
# llama-7b-hf-platypus-lamini-vxxiii-chat-real_2
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | nahuelpaladino/dqn-SpaceInvadersNoFrameskip-v4 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
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#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-tra... | [
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text-to-image | diffusers |
# GDM Luxury Modern Interior Design Ultimate Checkpoint API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/gdm-luxury-modern-interio | null | [
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"region:us"
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#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# GDM Luxury Modern Interior Design Ultimate Checkpoint API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "gdm-luxury-modern-interio"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-7b-hf"} | cgihlstorf/NEW_finetuned_llama27b32_1_0.0003_alternate_no_output | null | [
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"arxiv:1910.09700",
"base_model:meta-llama/Llama-2-7b-hf",
"region:us"
] | null | 2024-04-23T20:27:09+00:00 | [
"1910.09700"
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#peft #arxiv-1910.09700 #base_model-meta-llama/Llama-2-7b-hf #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
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#... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** rafaeloc15
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | rafaeloc15/llama3-v1 | null | [
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|
# Uploaded model
- Developed by: rafaeloc15
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | jeliasherrero/ppo-Pyramids_v1 | null | [
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#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us
|
# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where ... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "NousResearch/Meta-Llama-3-70B"} | wave-on-discord/llama-3-70b-llc-test | null | [
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|
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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": []} | ismail07/mistral-7b-sned | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_opus_books_model
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "t5-small", "model-index": [{"name": "my_awesome_opus_books_model", "results": []}]} | tristayqc/my_awesome_opus_books_model | null | [
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| my\_awesome\_opus\_books\_model
===============================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5983
* Bleu: 5.6896
* Gen Len: 17.5758
Model description
-----------------
More information needed
Intended u... | [
"### 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\n* mixed\\_prec... | [
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text-generation | transformers |
## Model Details
Arctic is a dense-MoE Hybrid transformer architecture pre-trained from scratch by the Snowflake AI
Research Team. We are releasing model checkpoints for both the base and instruct-tuned versions of
Arctic under an Apache-2.0 license. This means you can use them freely in your own research,
prototy... | {"license": "apache-2.0", "tags": ["snowflake", "arctic", "moe"]} | Snowflake/snowflake-arctic-base | null | [
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## Model Details
Arctic is a dense-MoE Hybrid transformer architecture pre-trained from scratch by the Snowflake AI
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# v2-WtP-FT-3L-256BS-UD-Opus-cUD-cOpus
This model was trained from scratch on the None dataset.
It achieves the following results ... | {"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1"], "model-index": [{"name": "v2-WtP-FT-3L-256BS-UD-Opus-cUD-cOpus", "results": []}]} | igorsterner/v2-WtP-FT-3L-256BS-UD-Opus-cUD-cOpus | null | [
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| v2-WtP-FT-3L-256BS-UD-Opus-cUD-cOpus
====================================
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1444
* Precision: 0.4459
* Recall: 0.7
* F1: 0.5447
* Threshold: 0.3000
Model description
-----------------
More i... | [
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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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mlabonne/ChimeraLlama-3-8B](https... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["nbeerbower/llama-3-dragonmaid-8B", "cognitivecomputations/dolphin-2.9-llama3-8b", "mlabonne/ChimeraLlama-3-8B", "WesPro/F2PhenotypeDPO"]} | WesPro/PsykidelicLlama3 | null | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the DARE TIES merge method using mlabonne/ChimeraLlama-3-8B as a base.
### Models Merged
The following models were included in the merge:
* nbeerbower/llama-3-dragonmaid-8B
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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. -->
# basic_train_basic_test 1000 similar params: per_device_train_batch_size=8, # bylo 16 a pod tim 1 gradient_accumulation_steps=2, w... | {"language": ["multilingual"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "basic_train_basic_test 1000 similar params: per_device_train_batch_s... | xbilek25/whisper-small-train-basic_1000_v1.1 | 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. -->
# my_awesome_asr_mind_model
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["minds14"], "metrics": ["wer"], "model-index": [{"name": "my_awesome_asr_mind_model", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "minds14", "type": "minds14", "confi... | Ponyyyy/my_awesome_asr_mind_model | null | [
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| my\_awesome\_asr\_mind\_model
=============================
This model is a fine-tuned version of facebook/wav2vec2-base on the minds14 dataset.
It achieves the following results on the evaluation set:
* Loss: 3.2719
* Wer: 0.9771
Model description
-----------------
More information needed
Intended uses & lim... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_eli5_clm-model
This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "openai-community/gpt2", "model-index": [{"name": "my_awesome_eli5_clm-model", "results": []}]} | mkim-MASI/my_awesome_eli5_clm-model | null | [
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| my\_awesome\_eli5\_clm-model
============================
This model is a fine-tuned version of openai-community/gpt2 on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 3.5744
Model description
-----------------
More information needed
Intended uses & limitations
-... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
"### Traini... | [
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text-generation | transformers |
## 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 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"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... | Roky124142141/llama_3 | null | [
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| 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 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### 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-classification | transformers | # sean_test_merge_out
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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mllm-dev/gpt2_f_exp... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mllm-dev/gpt2_f_experiment_2_1000", "mllm-dev/gpt2_f_experiment_1_1000", "mllm-dev/gpt2_f_experiment_4_1000", "mllm-dev/gpt2_f_experiment_0_1000", "mllm-dev/gpt2_f_experiment_3_1000"]} | mllm-dev/gpt2_m_experiment_dare_linear_1000 | null | [
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"base_model:mllm-dev/gpt2_f... | null | 2024-04-23T20:46:01+00:00 | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the DARE TIES merge method using mllm-dev/gpt2_f_experiment_0_1000 as a base.
### Models Merged
The following models were included in the merge:
* mllm-dev/gpt2... | [
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null | transformers |
# NikolayKozloff/Mixtral_AI_CyberTron_Swahili_7b-Q8_0-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_CyberTron_Swahili_7b`](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberTron_Swahili_7b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) s... | {"language": ["sw", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "llama-cpp", "gguf-my-repo"], "datasets": ["iamshnoo/alpaca-cleaned-swahili", "Rogendo/English-Swahili-Sentence-Pairs", "mwitiderrick/SwahiliPlatypus", "... | NikolayKozloff/Mixtral_AI_CyberTron_Swahili_7b-GGUF | null | [
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# NikolayKozloff/Mixtral_AI_CyberTron_Swahili_7b-Q8_0-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_CyberTron_Swahili_7b' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL ser... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/dumbo-llamalfg8 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for 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": []} | Petlove/Llama-3-8b-ptbr-speech-analytics | 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 | 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. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "llama2", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "codellama/CodeLlama-7b-hf", "model-index": [{"name": "codellama-7b-openapi-completion-quick-fix", "results": []}]} | BohdanPetryshyn/codellama-7b-openapi-completion-quick-fix | null | [
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| <img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
codellama-7b-openapi-completion-quick-fix
=========================================
This model is a fine-tuned version of codellama/CodeLlama-7b-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.... | [
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null | null |
# NikolayKozloff/Mixtral_AI_SwahiliTron_7b-Q8_0-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_SwahiliTron_7b`](https://huggingface.co/LeroyDyer/Mixtral_AI_SwahiliTron_7b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the... | {"language": ["en", "sw"], "license": "mit", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["uonlp/CulturaX", "Rogendo/English-Swahili-Sentence-Pairs"]} | NikolayKozloff/Mixtral_AI_SwahiliTron_7b-GGUF | null | [
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|
# NikolayKozloff/Mixtral_AI_SwahiliTron_7b-Q8_0-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_SwahiliTron_7b' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the C... | [
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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": []} | josianem/adanreceipts-donut-model-cordv2 | null | [
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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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": []} | santoshsto/mistral-7b-cpp-LORA-4bit | 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 | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Phi-3-mini-4k-instruct-layer-mix-bpw-4.0 | null | [
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#transformers #safetensors #phi3 #text-generation #conversational #custom_code #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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text-generation | transformers |
# RolePlayLake-7B
RolePlayLake-7B is a merge of the following models :
* [SanjiWatsuki/Silicon-Maid-7B](https://huggingface.co/SanjiWatsuki/Silicon-Maid-7B)
* [senseable/WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2)
`In my current testing RolePlayLake is Better than Silicon_Maid in RP and More U... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "mistral", "SanjiWatsuki/Silicon-Maid-7B", "senseable/WestLake-7B-v2"], "base_model": ["SanjiWatsuki/Silicon-Maid-7B", "senseable/WestLake-7B-v2"], "model-index": [{"name": "RolePlayLake-7B", "results": [{"task": {"type": "text-generation", "name": "Text Generatio... | bwuzhang/test2 | null | [
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===============
RolePlayLake-7B is a merge of the following models :
* SanjiWatsuki/Silicon-Maid-7B
* senseable/WestLake-7B-v2
'In my current testing RolePlayLake is Better than Silicon\_Maid in RP and More Uncensored Than WestLake'
'I would try to only merge Uncensored Models with Baising towar... | [] | [
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null | null | Stable Diffusion XL (SDXL) text-to-image generation model finetuned on Yarn-art-style dataset ('Norod78/Yarn-art-style') | {} | Anastasia2024/sdxl-yarn-lora | null | [
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#region-us
| Stable Diffusion XL (SDXL) text-to-image generation model finetuned on Yarn-art-style dataset ('Norod78/Yarn-art-style') | [] | [
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translation | transformers |
# Model Documentation: Wolof to French Translation with NLLB-200
## Model Overview
This document describes a machine translation model fine-tuned from Meta's NLLB-200 for translating from Wolof to French. The model, hosted at `cifope/nllb-200-wo-fr-distilled-600M`, utilizes a distilled version of the NLLB-200 model ... | {"language": ["wo", "fr"], "license": "mit", "tags": ["text-generation-inference"], "metrics": ["bleu"], "pipeline_tag": "translation"} | cifope/nllb-200-wo-fr-distilled-600M | null | [
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|
# Model Documentation: Wolof to French Translation with NLLB-200
## Model Overview
This document describes a machine translation model fine-tuned from Meta's NLLB-200 for translating from Wolof to French. The model, hosted at 'cifope/nllb-200-wo-fr-distilled-600M', utilizes a distilled version of the NLLB-200 model ... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_ablation_4iters_bs256_sample2_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://hug... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.001_ablation_4iters_bs256_sample2_iter_1", "results": []}]} | ShenaoZ/0.001_ablation_4iters_bs256_sample2_iter_1 | null | [
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|
# 0.001_ablation_4iters_bs256_sample2_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More in... | [
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text-generation | null |
# NikolayKozloff/dolphin-2.9-llama3-8b-flashback-Q8_0-GGUF
This model was converted to GGUF format from [`timpal0l/dolphin-2.9-llama3-8b-flashback`](https://huggingface.co/timpal0l/dolphin-2.9-llama3-8b-flashback) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) spa... | {"language": ["sv", "da", "no", "is", "en"], "license": "apache-2.0", "tags": ["merge", "llama-cpp", "gguf-my-repo"], "base_model": ["timpal0l/Llama-3-8B-flashback-v1", "cognitivecomputations/dolphin-2.9-llama3-8b"], "pipeline_tag": "text-generation"} | NikolayKozloff/dolphin-2.9-llama3-8b-flashback-GGUF | null | [
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|
# NikolayKozloff/dolphin-2.9-llama3-8b-flashback-Q8_0-GGUF
This model was converted to GGUF format from 'timpal0l/dolphin-2.9-llama3-8b-flashback' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL serv... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mistral-7B-Instruct-v0.2_esnli_5000_lr2e-6_4ep
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https:... | {"tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-7B-Instruct-v0.2_esnli_5000_lr2e-6_4ep", "results": []}]} | mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_lr2e-6_4ep | null | [
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|
# Mistral-7B-Instruct-v0.2_esnli_5000_lr2e-6_4ep
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Train... | [
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text-generation | transformers |
Now not overtrained and with the tokenizer fix to base llama3. Trained for 3 epochs.
The latest TheSpice, dipped in Mama Liz's LimaRP Oil.
I've focused on making the model more flexible and provide a more unique experience.
I'm still working on cleaning up my dataset, but I've shrunken it down a lot to focus on a "l... | {"license": "cc-by-nc-4.0"} | cgato/L3-TheSpice-8b-v0.8.3 | null | [
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#transformers #safetensors #llama #text-generation #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
Now not overtrained and with the tokenizer fix to base llama3. Trained for 3 epochs.
The latest TheSpice, dipped in Mama Liz's LimaRP Oil.
I've focused on making the model more flexible and provide a more unique experience.
I'm still working on cleaning up my dataset, but I've shrunken it down a lot to focus on a "l... | [
"## Datasets Used\n\n* Capybara\n* Claude Multiround 30k\n* Augmental\n* ToxicQA\n* Yahoo Answers\n* Airoboros 3.1\n* LimaRP",
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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. -->
# results
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the f... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "t5-base", "model-index": [{"name": "results", "results": []}]} | avirathtibrewala/results | null | [
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| results
=======
This model is a fine-tuned version of t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3613
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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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": []} | Rimyy/GemmaGSMDataV1 | null | [
"transformers",
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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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null | null |
### Imports
```python
import torch
from hqq.engine.hf import HQQModelForCausalLM, AutoTokenizer
from hqq.utils.patching import prepare_for_inference
```
### Loading Weights
```python
model = HQQModelForCausalLM.from_quantized("rohitg/Mixtral-8x22B-Instruct-v0.1-hf-4bit_g64-HQQ", device='cuda')
tokenizer = AutoToke... | {"license": "apache-2.0"} | rohitg/Mixtral-8x22B-Instruct-v0.1-hf-4bit_g64-HQQ | null | [
"license:apache-2.0",
"region:us"
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|
### Imports
### Loading Weights
### Text Generation
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text-generation | transformers |
This model is based on Llama-3-8b-Instruct, and is governed by [META LLAMA 3 COMMUNITY LICENSE AGREEMENT](https://llama.meta.com/llama3/license/)
Lexi is uncensored, which makes the model compliant.... | {"license": "llama3", "tags": ["uncensored", "llama3", "instruct", "open"]} | Orenguteng/Llama-3-8B-Lexi-Uncensored | null | [
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"instruct",
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#transformers #safetensors #llama #text-generation #uncensored #llama3 #instruct #open #conversational #license-llama3 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
!image/png
This model is based on Llama-3-8b-Instruct, and is governed by META LLAMA 3 COMMUNITY LICENSE AGREEMENT
Lexi is uncensored, which makes the model compliant. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant with any requests, even une... | [] | [
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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": []} | Manpa/mistral-7b-math | null | [
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#transformers #safetensors #mistral #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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-classification | setfit |
# SetFit with sentence-transformers/paraphrase-mpnet-base-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2) as the S... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "sentence-transformers/paraphrase-mpnet-base-v2", "widget": [{"text": "Anyone 170 or below that takes Wegovy? Well it is, Ozempic and Wegovy are actually... | bhaskars113/ozempic-taking-medications-classifier-1.1 | null | [
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| SetFit with sentence-transformers/paraphrase-mpnet-base-v2
==========================================================
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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... | DaniElAbrazos/Reinforce-pixelcopter | null | [
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#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
| [
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text-generation | transformers |
OpenVINO IR with int8 quantization.
To use on LocalAI use the following model definition:
```
name: phi3
backend: transformers
parameters:
model: fakezeta/Phi-3-mini-4k-instruct-ov-int8
context_size: 4096
threads: 6
trust_remote_code: true
type: OVModelForCausalLM
template:
use_tokenizer_template: true
stopwords:
- ... | {"license": "mit"} | fakezeta/Phi-3-mini-4k-instruct-ov-int8 | null | [
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"openvino",
"phi3",
"text-generation",
"conversational",
"custom_code",
"license:mit",
"autotrain_compatible",
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"region:us"
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#transformers #openvino #phi3 #text-generation #conversational #custom_code #license-mit #autotrain_compatible #endpoints_compatible #region-us
| OpenVINO IR with int8 quantization.
To use on LocalAI use the following model definition:
Model Summary
-------------
The Phi-3-Mini-4K-Instruct is a 3.8B parameters, lightweight, state-of-the-art open model trained with the Phi-3 datasets that includes both synthetic data and the filtered publicly available websit... | [
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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": []} | Rmote6603/MergedModel-MedPrescription | null | [
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"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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- Funded by [optional]:
- Shared by [optional]:
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image-classification | transformers |
# Ocsai-D Base
This model is a trained model for scoring creativity - specifically figural (drawing-based) originality scoring. It is a fine-tuned version of [beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k).
It achieves the following results on the evaluation set:
- Mse: 0.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["pearsonr", "r_squared"], "base_model": "microsoft/beit-base-patch16-224-pt22k-ft22k", "model-index": [{"name": "https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k", "results": []}]} | POrg/ocsai-d-base | null | [
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|
# Ocsai-D Base
This model is a trained model for scoring creativity - specifically figural (drawing-based) originality scoring. It is a fine-tuned version of beit-base-patch16-224.
It achieves the following results on the evaluation set:
- Mse: 0.0077
- Pearsonr: 0.82
- R2: 0.52
- Rmse: 0.088
It can be tried at <UR... | [
"# Ocsai-D Base\n\nThis model is a trained model for scoring creativity - specifically figural (drawing-based) originality scoring. It is a fine-tuned version of beit-base-patch16-224.\nIt achieves the following results on the evaluation set:\n\n- Mse: 0.0077\n- Pearsonr: 0.82\n- R2: 0.52\n- Rmse: 0.088\n\nIt can b... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Meta-Llama-3-8B-Instruct_fictional_Chinese_v2
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https:... | {"license": "other", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Meta-Llama-3-8B-Instruct_fictional_Chinese_v2", "results": []}]} | yzhuang/Meta-Llama-3-8B-Instruct_fictional_Chinese_v2 | null | [
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"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inf... | null | 2024-04-23T21:25:16+00:00 | [] | [] | TAGS
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|
# Meta-Llama-3-8B-Instruct_fictional_Chinese_v2
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Tr... | [
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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. -->
# mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_Lora_lr1e-5_1ep
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_Lora_lr1e-5_1ep", "results": []}]} | mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_Lora_lr1e-5_1ep | null | [
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"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:other",
"region:us"
] | null | 2024-04-23T21:25:22+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #region-us
|
# mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_Lora_lr1e-5_1ep
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 3.0287
- eval_runtime: 2.8614
- eval_samples_per_second: 69.895
- eval_steps_per_s... | [
"# mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_Lora_lr1e-5_1ep\n\nThis model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 3.0287\n- eval_runtime: 2.8614\n- eval_samples_per_second: 69.895\n- eval_st... | [
"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #region-us \n",
"# mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_Lora_lr1e-5_1ep\n\nThis model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.\nIt ach... | [
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"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #region-us \n# mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_Lora_lr1e-5_1ep\n\nThis model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.\nIt achieves ... |
text-generation | transformers | # "Poppy Porpoise" is a cutting-edge AI roleplay assistant based on the Llama 3 8B model, specializing in crafting unforgettable narrative experiences. With its advanced language capabilities, Poppy expertly immerses users in an interactive and engaging adventure, tailoring each adventure to their individual preference... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Hastagaras/L3-Asbac-8B", "ChaoticNeutrals/Poppy_Porpoise-v0.6-L3-8B"]} | ChaoticNeutrals/Poppy_Porpoise-v0.7-L3-8B | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:Hastagaras/L3-Asbac-8B",
"base_model:ChaoticNeutrals/Poppy_Porpoise-v0.6-L3-8B",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"regi... | null | 2024-04-23T21:28:35+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #mergekit #merge #conversational #base_model-Hastagaras/L3-Asbac-8B #base_model-ChaoticNeutrals/Poppy_Porpoise-v0.6-L3-8B #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # "Poppy Porpoise" is a cutting-edge AI roleplay assistant based on the Llama 3 8B model, specializing in crafting unforgettable narrative experiences. With its advanced language capabilities, Poppy expertly immerses users in an interactive and engaging adventure, tailoring each adventure to their individual preference... | [
"# \"Poppy Porpoise\" is a cutting-edge AI roleplay assistant based on the Llama 3 8B model, specializing in crafting unforgettable narrative experiences. With its advanced language capabilities, Poppy expertly immerses users in an interactive and engaging adventure, tailoring each adventure to their individual pre... | [
"TAGS\n#transformers #safetensors #llama #text-generation #mergekit #merge #conversational #base_model-Hastagaras/L3-Asbac-8B #base_model-ChaoticNeutrals/Poppy_Porpoise-v0.6-L3-8B #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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text-generation | transformers |
OpenVINO IR with int4 quantization.
To use on LocalAI use the following model definition:
```
name: phi3
backend: transformers
parameters:
model: fakezeta/Phi-3-mini-4k-instruct-ov-int4
context_size: 4096
threads: 6
trust_remote_code: true
type: OVModelForCausalLM
template:
use_tokenizer_template: true
stopwords:
- ... | {"license": "mit"} | fakezeta/Phi-3-mini-4k-instruct-ov-int4 | null | [
"transformers",
"openvino",
"phi3",
"text-generation",
"conversational",
"custom_code",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T21:29:00+00:00 | [] | [] | TAGS
#transformers #openvino #phi3 #text-generation #conversational #custom_code #license-mit #autotrain_compatible #endpoints_compatible #region-us
| OpenVINO IR with int4 quantization.
To use on LocalAI use the following model definition:
Model Summary
-------------
The Phi-3-Mini-4K-Instruct is a 3.8B parameters, lightweight, state-of-the-art open model trained with the Phi-3 datasets that includes both synthetic data and the filtered publicly available websit... | [
"### Chat Format\n\n\nGiven the nature of the training data, the Phi-3 Mini-4K-Instruct model is best suited for prompts using the chat format as follows.\nYou can provide the prompt as a question with a generic template as follow:\n\n\nFor example:\n\n\nwhere the model generates the text after '<|assistant|>' . In... | [
"TAGS\n#transformers #openvino #phi3 #text-generation #conversational #custom_code #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Chat Format\n\n\nGiven the nature of the training data, the Phi-3 Mini-4K-Instruct model is best suited for prompts using the chat format as follows.\nYo... | [
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"TAGS\n#transformers #openvino #phi3 #text-generation #conversational #custom_code #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Chat Format\n\n\nGiven the nature of the training data, the Phi-3 Mini-4K-Instruct model is best suited for prompts using the chat format as follows.\nYou can ... |
null | transformers |
# Unlocking Gemma's Power: Multi-Task Movie Review on TPUs with JAX
Summary:
- This [notebook](https://huggingface.co/selamw/gemma-in-jax-colab-tpu/blob/main/gemma_in_jax_colab_tpu.ipynb) demonstrates how to leverage [TPUs](https://www.kaggle.com/docs/tpu) and [JAX](https://jax.readthedocs.io/en/latest/) for **data-... | {"license": "apache-2.0", "tags": ["jax", "tpu", "gemma", "llm", "multi-task", "text-generation-inference", "transformers", "Inference Endpoints"], "title": "Unlocking Gemma's Power: Multi-Task Movie Review on TPUs with JAX"} | selamw/gemma-in-jax-colab-tpu | null | [
"transformers",
"jax",
"tpu",
"gemma",
"llm",
"multi-task",
"text-generation-inference",
"Inference Endpoints",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T21:30:20+00:00 | [] | [] | TAGS
#transformers #jax #tpu #gemma #llm #multi-task #text-generation-inference #Inference Endpoints #license-apache-2.0 #endpoints_compatible #region-us
|
# Unlocking Gemma's Power: Multi-Task Movie Review on TPUs with JAX
Summary:
- This notebook demonstrates how to leverage TPUs and JAX for data-parallel inference with the Gemma large language model.
- Use-case:- We will explore how to perform various tasks to review a movie like character identification, plot summ... | [
"# Unlocking Gemma's Power: Multi-Task Movie Review on TPUs with JAX\n\nSummary:\n\n- This notebook demonstrates how to leverage TPUs and JAX for data-parallel inference with the Gemma large language model.\n\n- Use-case:- We will explore how to perform various tasks to review a movie like character identification,... | [
"TAGS\n#transformers #jax #tpu #gemma #llm #multi-task #text-generation-inference #Inference Endpoints #license-apache-2.0 #endpoints_compatible #region-us \n",
"# Unlocking Gemma's Power: Multi-Task Movie Review on TPUs with JAX\n\nSummary:\n\n- This notebook demonstrates how to leverage TPUs and JAX for data-pa... | [
44,
171
] | [
"TAGS\n#transformers #jax #tpu #gemma #llm #multi-task #text-generation-inference #Inference Endpoints #license-apache-2.0 #endpoints_compatible #region-us \n# Unlocking Gemma's Power: Multi-Task Movie Review on TPUs with JAX\n\nSummary:\n\n- This notebook demonstrates how to leverage TPUs and JAX for data-parallel... |
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