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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | relu-ntnu/pegasus-cnn_dailymail_v4_trained_on_10_lr_5e-5_r8_a16_all_layers | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-22T19:29:52+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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reinforcement-learning | null |
# **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-Policy-Gradient-cartpole-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"... | jeliasherrero/Reinforce-Policy-Gradient-cartpole-v1 | 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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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shubhanker1234/fr-equi | null | [
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"safetensors",
"xlm-roberta",
"token-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #safetensors #xlm-roberta #token-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | null |
## Exllama v2 Quantizations of General-Stories-Mistral-7B
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.19">turboderp's ExLlamaV2 v0.0.19</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each bra... | {"language": ["en"], "license": "apache-2.0", "tags": ["story", "art", "general audience", "knowledge"], "datasets": ["ajibawa-2023/General-Stories-Collection"], "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/General-Stories-Mistral-7B-exl2 | null | [
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| Exllama v2 Quantizations of General-Stories-Mistral-7B
------------------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.19 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
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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_bs512_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface... | {"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_bs512_iter_1", "results": []}]} | ShenaoZ/0.001_ablation_4iters_bs512_iter_1 | null | [
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"endpoints_co... | null | 2024-04-22T19:36:35+00:00 | [] | [] | TAGS
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|
# 0.001_ablation_4iters_bs512_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 informatio... | [
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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. -->
# danielkosyratest
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
## Model desc... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "danielkosyratest", "results": []}]} | danielkosyra/danielkosyratest | null | [
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|
# danielkosyratest
This model is a fine-tuned version of gpt2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following h... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# NDD-mantisbt_test-content_tags
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "NDD-mantisbt_test-content_tags", "results": []}]} | lgk03/NDD-mantisbt_test-content_tags | null | [
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| NDD-mantisbt\_test-content\_tags
================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1468
* Accuracy: 0.9807
* F1: 0.9810
* Precision: 0.9816
* Recall: 0.9807
Model description
----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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. -->
# Action_agent
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-pa... | {"license": "apache-2.0", "tags": ["image-classification", "generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "Action_agent", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "... | Raihan004/Action_agent | null | [
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| Action\_agent
=============
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the agent\_action\_class dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6352
* Accuracy: 0.8143
Model description
-----------------
More information needed
Intended uses & limita... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 20",
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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. -->
# vit-base-chest-xray
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-... | {"license": "apache-2.0", "tags": ["image-classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "vit-base-chest-xray", "results": []}]} | abdulelahagr/vit-base-chest-xray | null | [
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#transformers #tensorboard #safetensors #vit #image-classification #generated_from_trainer #base_model-google/vit-base-patch16-224-in21k #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| vit-base-chest-xray
===================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the trpakov/chest-xray-classification dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0856
* Accuracy: 0.9742
Model description
-----------------
More information needed... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 4\n* mixed\\_prec... | [
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image-text-to-text | xtuner |
# RaincloudAi/llava-llama-3-8b-v1_1-Q4_K_M-GGUF
This model was converted to GGUF format from [`xtuner/llava-llama-3-8b-v1_1`](https://huggingface.co/xtuner/llava-llama-3-8b-v1_1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model ca... | {"library_name": "xtuner", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Lin-Chen/ShareGPT4V"], "pipeline_tag": "image-text-to-text"} | RaincloudAi/llava-llama-3-8b-v1_1-Q4_K_M-GGUF | null | [
"xtuner",
"gguf",
"llama-cpp",
"gguf-my-repo",
"image-text-to-text",
"dataset:Lin-Chen/ShareGPT4V",
"region:us"
] | null | 2024-04-22T19:39:27+00:00 | [] | [] | TAGS
#xtuner #gguf #llama-cpp #gguf-my-repo #image-text-to-text #dataset-Lin-Chen/ShareGPT4V #region-us
|
# RaincloudAi/llava-llama-3-8b-v1_1-Q4_K_M-GGUF
This model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
... | [
"# RaincloudAi/llava-llama-3-8b-v1_1-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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null | trl |
# Weni/WeniGPT-Agents-Mistral-1.0.11-SFT
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2] on the dataset Weni/wenigpt-agent-1.4.0 with the SFT trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: Experiment with SFT and a new tokenizer configuration for chat ... | {"language": ["pt"], "license": "mit", "library_name": "trl", "tags": ["SFT", "WeniGPT"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Weni/WeniGPT-Agents-Mistral-1.0.11-SFT", "results": []}]} | Weni/WeniGPT-Agents-Mistral-1.0.11-SFT | null | [
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# Weni/WeniGPT-Agents-Mistral-1.0.11-SFT
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2] on the dataset Weni/wenigpt-agent-1.4.0 with the SFT trainer. It is part of the WeniGPT project for Weni.
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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": "bigscience/bloom-7b1"} | maddi99/blm_g4_peft | 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. -->
# 0.01_ablation_4iters_bs256_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.... | {"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": "0.01_ablation_4iters_bs256_iter_1", "results": []}]} | ShenaoZ/0.01_ablation_4iters_bs256_iter_1 | null | [
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|
# 0.01_ablation_4iters_bs256_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 information... | [
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | haydenbspence/distilbert-finetuned-ner | null | [
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null | transformers | ## About
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weighted/imatrix quants of https://huggingface.co/allenai/OLMo-1.7-7B-hf
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weighted/imatrix quants of URL
static quants are available at URL
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text-generation | transformers | # GALAXY-16B-v1.0
## Technical notes
- 72 layers,DUS procedure, mistral(32)->SOLAR(48)->GALAXY(72)
- 16B parameters
- model created as an extension of depth upscaling procedure used for SOLAR by upstage
## Results
- model ca... | {"language": ["en"], "license": "apache-2.0", "tags": ["not-for-all-audiences"], "datasets": ["Intel/orca_dpo_pairs", "athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW", "Open-Orca/SlimOrca", "MinervaAI/Aesir-Preview", "allenai/ultrafeedback_binarized_cleaned"]} | TeeZee/GALAXY-16B-v1.0 | null | [
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!image/png
## Technical notes
- 72 layers,DUS procedure, mistral(32)->SOLAR(48)->GALAXY(72)
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shubhanker1234/fr-htfl | null | [
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null | null | <!-- header start -->
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<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;">
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[](URL target=)
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL
This repo contains GGUF versions of the MaziyarPanahi/Llama-3-11B model.
------------------------------------------------------------------------
Simply make AI models cheaper, smaller, faster, and greener!
========... | [
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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).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | eulpicard/ppo-SnowballTarget | null | [
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#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
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 tuto... | [
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | maviced/Practica3-2 | null | [
"fastai",
"region:us"
] | null | 2024-04-22T19:48:58+00:00 | [] | [] | TAGS
#fastai #region-us
|
# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the documentation here)!
2. Create a demo in Gradio or Streamlit using Spaces (documentation here).
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral_instruct_generation
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.1", "model-index": [{"name": "mistral_instruct_generation", "results": []}]} | corrinac/mistral_instruct_generation | null | [
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| mistral\_instruct\_generation
=============================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6577
Model description
-----------------
More information needed
Intended uses & lim... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="mbartholet/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional ... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | mbartholet/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
null | peft |
# llama3-8b-instruct-text-to-sql
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and ... | {"language": ["en"], "license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["b-mc2/sql-create-context"], "metrics": ["accuracy 79.90"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "llama3-8b-instruct-text-to-sql", "results": []}]... | tyfeng1997/llama3-8b-instruct-text-to-sql | null | [
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|
# llama3-8b-instruct-text-to-sql
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
## Training procedur... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | relu-ntnu/pegasus-cnn_dailymail_v4_trained_on_100_lr_5e-5_r8_a16_all_layers | null | [
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-to-image | diffusers | ### NewestNadeem Dreambooth model trained by BatulMrakkan with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast... | {"license": "creativeml-openrail-m", "tags": ["text-to-image", "stable-diffusion"]} | BatulMrakkan/newestnadeem | null | [
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#diffusers #safetensors #text-to-image #stable-diffusion #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| ### NewestNadeem Dreambooth model trained by BatulMrakkan with TheLastBen's fast-DreamBooth notebook
Test the concept via A1111 Colab fast-Colab-A1111
Sample pictures of this concept:
... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# MODEL_EPOCHS_B2_testcase
This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "NousResearch/Llama-2-7b-hf", "model-index": [{"name": "MODEL_EPOCHS_B2_testcase", "results": []}]} | LLMLover/MODEL_EPOCHS_B2_testcase | null | [
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|
# MODEL_EPOCHS_B2_testcase
This model is a fine-tuned version of NousResearch/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 procedure
The following ... | [
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text2text-generation | transformers | <img src="https://hoodie-creator.s3.eu-west-1.amazonaws.com/2c331689-original.png" alt="gorilla-llm" border="0" width="400px">
## Introduction
Zefiro functioncalling extends Large Language Model(LLM) Chat Completion feature to formulate
executable APIs call given Italian based natural language instructions and API co... | {"language": ["it"], "license": "apache-2.0", "library_name": "transformers", "tags": ["functioncalling"], "pipeline_tag": "text2text-generation"} | mii-community/zefiro-functioncalling-v0.3-alpha | null | [
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| <img src="URL alt="gorilla-llm" border="0" width="400px">
Introduction
------------
Zefiro functioncalling extends Large Language Model(LLM) Chat Completion feature to formulate
executable APIs call given Italian based natural language instructions and API context. With OpenFunctions v2,
we now support:
1. Rele... | [] | [
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] |
image-to-text | transformers |
# Nougat model, base-sized version
Nougat model trained on PDF-to-markdown. It was introduced in the paper [Nougat: Neural Optical Understanding for Academic Documents](https://arxiv.org/abs/2308.13418) by Blecher et al. and first released in [this repository](https://github.com/facebookresearch/nougat/tree/main).
... | {"license": "cc-by-nc-4.0", "tags": ["vision", "nougat"], "pipeline_tag": "image-to-text"} | HongxuanLi/nougat-base-deploy | null | [
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|
# Nougat model, base-sized version
Nougat model trained on PDF-to-markdown. It was introduced in the paper Nougat: Neural Optical Understanding for Academic Documents by Blecher et al. and first released in this repository.
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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. -->
# LORA_trained_on_MMLU_5shot_test
This model is a fine-tuned version of [justshao/llama2-test](https://huggingface.co/justshao/lla... | {"license": "llama2", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "justshao/llama2-test", "model-index": [{"name": "LORA_trained_on_MMLU_5shot_test", "results": []}]} | justshao/LORA_trained_on_MMLU_5shot_test | null | [
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#peft #safetensors #generated_from_trainer #base_model-justshao/llama2-test #license-llama2 #region-us
| LORA\_trained\_on\_MMLU\_5shot\_test
====================================
This model is a fine-tuned version of justshao/llama2-test on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5586
Model description
-----------------
More information needed
Intended uses & limitati... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 4_datasets_fake_news_with_rephrase_4datasets
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "4_datasets_fake_news_with_rephrase_4datasets", "results": []}]} | littlepinhorse/4_datasets_fake_news_with_rephrase_4datasets | null | [
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|
# 4_datasets_fake_news_with_rephrase_4datasets
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0912
- Accuracy: 0.9766
- F1: 0.9766
## Model description
More information needed
## Intended uses & limitations
Mo... | [
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"## Model description\n\nMore information needed",
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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_declr_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggi... | {"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_declr_iter_1", "results": []}]} | ShenaoZ/0.001_ablation_4iters_bs256_declr_iter_1 | null | [
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"license:mit",
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"endpoints_co... | null | 2024-04-22T19:53:09+00:00 | [] | [] | TAGS
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|
# 0.001_ablation_4iters_bs256_declr_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 info... | [
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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_decalpha_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://hu... | {"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_decalpha_iter_1", "results": []}]} | ShenaoZ/0.001_ablation_4iters_bs256_decalpha_iter_1 | null | [
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"license:mit",
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"endpoints_co... | null | 2024-04-22T19:53:20+00:00 | [] | [] | TAGS
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|
# 0.001_ablation_4iters_bs256_decalpha_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 i... | [
"# 0.001_ablation_4iters_bs256_decalpha_iter_1\n\nThis model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and eva... | [
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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": []} | cilantro9246/2m14op7 | null | [
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"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-22T19:54:33+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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sentence-similarity | sentence-transformers |
# tonychenxyz/paraphrase-MiniLM-L6-v2-finetune-summary
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transforme... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | tonychenxyz/paraphrase-MiniLM-L6-v2-finetune-summary | null | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | null | 2024-04-22T19:57:07+00:00 | [] | [] | TAGS
#sentence-transformers #pytorch #bert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# tonychenxyz/paraphrase-MiniLM-L6-v2-finetune-summary
This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-t... | [
"# tonychenxyz/paraphrase-MiniLM-L6-v2-finetune-summary\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.",
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image-text-to-text | xtuner |
# djward888/llava-llama-3-8b-v1_1-Q6_K-GGUF
This model was converted to GGUF format from [`xtuner/llava-llama-3-8b-v1_1`](https://huggingface.co/xtuner/llava-llama-3-8b-v1_1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](... | {"library_name": "xtuner", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Lin-Chen/ShareGPT4V"], "pipeline_tag": "image-text-to-text"} | djward888/llava-llama-3-8b-v1_1-Q6_K-GGUF | null | [
"xtuner",
"gguf",
"llama-cpp",
"gguf-my-repo",
"image-text-to-text",
"dataset:Lin-Chen/ShareGPT4V",
"region:us"
] | null | 2024-04-22T19:57:09+00:00 | [] | [] | TAGS
#xtuner #gguf #llama-cpp #gguf-my-repo #image-text-to-text #dataset-Lin-Chen/ShareGPT4V #region-us
|
# djward888/llava-llama-3-8b-v1_1-Q6_K-GGUF
This model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Ser... | [
"# djward888/llava-llama-3-8b-v1_1-Q6_K-GGUF\nThis model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the C... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **Custom-Pixelcopter-ScreenRGB**
This is a trained model of a **Reinforce** agent playing **Custom-Pixelcopter-ScreenRGB** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/uni... | {"tags": ["Custom-Pixelcopter-ScreenRGB", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-pixelcopter-moe-1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Custom-Pixelcopter-ScreenRGB... | nvasko/Reinforce-pixelcopter-moe-1 | null | [
"Custom-Pixelcopter-ScreenRGB",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-22T19:58:00+00:00 | [] | [] | TAGS
#Custom-Pixelcopter-ScreenRGB #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Custom-Pixelcopter-ScreenRGB
This is a trained model of a Reinforce agent playing Custom-Pixelcopter-ScreenRGB .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
"# Reinforce Agent playing Custom-Pixelcopter-ScreenRGB\n This is a trained model of a Reinforce agent playing Custom-Pixelcopter-ScreenRGB .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL"
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image-text-to-text | xtuner |
# djward888/llava-llama-3-8b-v1_1-Q8_0-GGUF
This model was converted to GGUF format from [`xtuner/llava-llama-3-8b-v1_1`](https://huggingface.co/xtuner/llava-llama-3-8b-v1_1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](... | {"library_name": "xtuner", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Lin-Chen/ShareGPT4V"], "pipeline_tag": "image-text-to-text"} | djward888/llava-llama-3-8b-v1_1-Q8_0-GGUF | null | [
"xtuner",
"gguf",
"llama-cpp",
"gguf-my-repo",
"image-text-to-text",
"dataset:Lin-Chen/ShareGPT4V",
"region:us"
] | null | 2024-04-22T19:58:29+00:00 | [] | [] | TAGS
#xtuner #gguf #llama-cpp #gguf-my-repo #image-text-to-text #dataset-Lin-Chen/ShareGPT4V #region-us
|
# djward888/llava-llama-3-8b-v1_1-Q8_0-GGUF
This model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Ser... | [
"# djward888/llava-llama-3-8b-v1_1-Q8_0-GGUF\nThis model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the C... | [
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text-to-image | diffusers | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### StitchVest Dreambooth model trained by enriq3 with TheLastBen's fast-DreamBooth notebook
| {} | enriq3/stitchvest | null | [
"diffusers",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-22T20:01:41+00:00 | [] | [] | TAGS
#diffusers #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### StitchVest Dreambooth model trained by enriq3 with TheLastBen's fast-DreamBooth notebook
| [
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"TAGS\n#diffusers #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n### StitchVest Dreambooth model trained by enriq3 with TheLastBen's fast-DreamBooth notebook"
] |
image-text-to-text | xtuner |
# djward888/llava-llama-3-8b-v1_1-Q5_K_M-GGUF
This model was converted to GGUF format from [`xtuner/llava-llama-3-8b-v1_1`](https://huggingface.co/xtuner/llava-llama-3-8b-v1_1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card... | {"library_name": "xtuner", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Lin-Chen/ShareGPT4V"], "pipeline_tag": "image-text-to-text"} | djward888/llava-llama-3-8b-v1_1-Q5_K_M-GGUF | null | [
"xtuner",
"gguf",
"llama-cpp",
"gguf-my-repo",
"image-text-to-text",
"dataset:Lin-Chen/ShareGPT4V",
"region:us"
] | null | 2024-04-22T20:01:44+00:00 | [] | [] | TAGS
#xtuner #gguf #llama-cpp #gguf-my-repo #image-text-to-text #dataset-Lin-Chen/ShareGPT4V #region-us
|
# djward888/llava-llama-3-8b-v1_1-Q5_K_M-GGUF
This model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
S... | [
"# djward888/llava-llama-3-8b-v1_1-Q5_K_M-GGUF\nThis model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the... | [
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"# djward888/llava-llama-3-8b-v1_1-Q5_K_M-GGUF\nThis model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card f... | [
49,
96,
52
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"TAGS\n#xtuner #gguf #llama-cpp #gguf-my-repo #image-text-to-text #dataset-Lin-Chen/ShareGPT4V #region-us \n# djward888/llava-llama-3-8b-v1_1-Q5_K_M-GGUF\nThis model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for mor... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral7binstruct_summarize
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral7binstruct_summarize", "results": []}]} | shoshana-levitt/mistral7binstruct_summarize | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-22T20:01:49+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
| mistral7binstruct\_summarize
============================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4703
Model description
-----------------
More information needed
Intended uses & limit... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 1\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: constant\n* lr\\_scheduler\\_warmup\\_step... | [
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text-generation | transformers |
# Model Card for Mistral-7B-Instruct-v0.2
The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.2.
Mistral-7B-v0.2 has the following changes compared to Mistral-7B-v0.1
- 32k context window (vs 8k context in v0.1)
- Rope-theta = 1e6
- No Sliding-Window Attenti... | {"license": "apache-2.0", "tags": ["finetuned"], "pipeline_tag": "text-generation", "inference": true, "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | alexakkol/mistral-7B-instruct-v0.2 | null | [
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"text-generation-inference",
"region:us"
] | null | 2024-04-22T20:02:01+00:00 | [
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#transformers #pytorch #mistral #text-generation #finetuned #conversational #arxiv-2310.06825 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Mistral-7B-Instruct-v0.2
The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.2.
Mistral-7B-v0.2 has the following changes compared to Mistral-7B-v0.1
- 32k context window (vs 8k context in v0.1)
- Rope-theta = 1e6
- No Sliding-Window Attenti... | [
"# Model Card for Mistral-7B-Instruct-v0.2\n\nThe Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.2.\n\nMistral-7B-v0.2 has the following changes compared to Mistral-7B-v0.1\n- 32k context window (vs 8k context in v0.1)\n- Rope-theta = 1e6\n- No Sliding-Win... | [
"TAGS\n#transformers #pytorch #mistral #text-generation #finetuned #conversational #arxiv-2310.06825 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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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-3-8B-Instruct"} | Grayx/sad_llama_28 | null | [
"peft",
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"region:us"
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"1910.09700"
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#peft #safetensors #llama #arxiv-1910.09700 #base_model-NousResearch/Meta-Llama-3-8B-Instruct #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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image-text-to-text | xtuner |
# djward888/llava-llama-3-8b-v1_1-Q5_K_S-GGUF
This model was converted to GGUF format from [`xtuner/llava-llama-3-8b-v1_1`](https://huggingface.co/xtuner/llava-llama-3-8b-v1_1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card... | {"library_name": "xtuner", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Lin-Chen/ShareGPT4V"], "pipeline_tag": "image-text-to-text"} | djward888/llava-llama-3-8b-v1_1-Q5_K_S-GGUF | null | [
"xtuner",
"gguf",
"llama-cpp",
"gguf-my-repo",
"image-text-to-text",
"dataset:Lin-Chen/ShareGPT4V",
"region:us"
] | null | 2024-04-22T20:03:48+00:00 | [] | [] | TAGS
#xtuner #gguf #llama-cpp #gguf-my-repo #image-text-to-text #dataset-Lin-Chen/ShareGPT4V #region-us
|
# djward888/llava-llama-3-8b-v1_1-Q5_K_S-GGUF
This model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
S... | [
"# djward888/llava-llama-3-8b-v1_1-Q5_K_S-GGUF\nThis model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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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_Epistemic_tiny_0.0_Seed105 | null | [
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"1910.09700"
] | [] | TAGS
#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
## Uses
### Direct Use
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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_Epistemic_tiny_0.0_Seed105 | null | [
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#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
## Uses
### Direct Use
... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# amazon_helpfulness_classification_on_TAPT_pretrained_full_train_1
This model is a fine-tuned version of [ltuzova/tapt_helpfulnes... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "ltuzova/tapt_helpfulness_base_pretraining_model_full_train", "model-index": [{"name": "amazon_helpfulness_classification_on_TAPT_pretrained_full_train_1", "results": []}]} | ltuzova/amazon_helpfulness_classification_on_TAPT_pretrained_full_train_1 | null | [
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| amazon\_helpfulness\_classification\_on\_TAPT\_pretrained\_full\_train\_1
=========================================================================
This model is a fine-tuned version of ltuzova/tapt\_helpfulness\_base\_pretraining\_model\_full\_train on an unknown dataset.
It achieves the following results on the eva... | [
"### 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=(0.9,0.98) and epsilon=1e-06\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio:... | [
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image-text-to-text | xtuner |
# djward888/llava-llama-3-8b-v1_1-Q5_0-GGUF
This model was converted to GGUF format from [`xtuner/llava-llama-3-8b-v1_1`](https://huggingface.co/xtuner/llava-llama-3-8b-v1_1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](... | {"library_name": "xtuner", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Lin-Chen/ShareGPT4V"], "pipeline_tag": "image-text-to-text"} | djward888/llava-llama-3-8b-v1_1-Q5_0-GGUF | null | [
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"gguf",
"llama-cpp",
"gguf-my-repo",
"image-text-to-text",
"dataset:Lin-Chen/ShareGPT4V",
"region:us"
] | null | 2024-04-22T20:05:14+00:00 | [] | [] | TAGS
#xtuner #gguf #llama-cpp #gguf-my-repo #image-text-to-text #dataset-Lin-Chen/ShareGPT4V #region-us
|
# djward888/llava-llama-3-8b-v1_1-Q5_0-GGUF
This model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Ser... | [
"# djward888/llava-llama-3-8b-v1_1-Q5_0-GGUF\nThis model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [NousResearch/Meta-Llama-3-8B-Instruct](http... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Meta-Llama-3-8B-Instruct", "cognitivecomputations/dolphin-2.8-mistral-7b-v02"]} | mergekit-community/mergekit-slerp-rxkhjnf | null | [
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"text-generation",
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"base_model:NousResearch/Meta-Llama-3-8B-Instruct",
"base_model:cognitivecomputations/dolphin-2.8-mistral-7b-v02",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"r... | null | 2024-04-22T20:05:41+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* NousResearch/Meta-Llama-3-8B-Instruct
* cognitivecomputations/dolphin-2.8-mistral... | [
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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. -->
# Baby-Llama-58M
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the followin... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "Baby-Llama-58M", "results": []}]} | ninagroot/Baby-Llama-58M | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-22T20:05:45+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Baby-Llama-58M
==============
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 7.5715
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information neede... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.00025\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: cosine\n* lr\\_scheduler\\_warmup\\_step... | [
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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": []} | xuliu15/openai-whisper-base-maltese-colab | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-22T20:07:02+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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"# Model Card for Model ID",
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image-text-to-text | xtuner |
# djward888/llava-llama-3-8b-v1_1-Q4_K_M-GGUF
This model was converted to GGUF format from [`xtuner/llava-llama-3-8b-v1_1`](https://huggingface.co/xtuner/llava-llama-3-8b-v1_1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card... | {"library_name": "xtuner", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Lin-Chen/ShareGPT4V"], "pipeline_tag": "image-text-to-text"} | djward888/llava-llama-3-8b-v1_1-Q4_K_M-GGUF | null | [
"xtuner",
"gguf",
"llama-cpp",
"gguf-my-repo",
"image-text-to-text",
"dataset:Lin-Chen/ShareGPT4V",
"region:us"
] | null | 2024-04-22T20:07:05+00:00 | [] | [] | TAGS
#xtuner #gguf #llama-cpp #gguf-my-repo #image-text-to-text #dataset-Lin-Chen/ShareGPT4V #region-us
|
# djward888/llava-llama-3-8b-v1_1-Q4_K_M-GGUF
This model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
S... | [
"# djward888/llava-llama-3-8b-v1_1-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | relu-ntnu/pegasus-cnn_dailymail_v4_trained_on_250_lr_5e-5_r8_a16_all_layers | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-22T20:07:13+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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image-text-to-text | xtuner |
# djward888/llava-llama-3-8b-v1_1-Q4_K_S-GGUF
This model was converted to GGUF format from [`xtuner/llava-llama-3-8b-v1_1`](https://huggingface.co/xtuner/llava-llama-3-8b-v1_1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card... | {"library_name": "xtuner", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Lin-Chen/ShareGPT4V"], "pipeline_tag": "image-text-to-text"} | djward888/llava-llama-3-8b-v1_1-Q4_K_S-GGUF | null | [
"xtuner",
"gguf",
"llama-cpp",
"gguf-my-repo",
"image-text-to-text",
"dataset:Lin-Chen/ShareGPT4V",
"region:us"
] | null | 2024-04-22T20:09:02+00:00 | [] | [] | TAGS
#xtuner #gguf #llama-cpp #gguf-my-repo #image-text-to-text #dataset-Lin-Chen/ShareGPT4V #region-us
|
# djward888/llava-llama-3-8b-v1_1-Q4_K_S-GGUF
This model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
S... | [
"# djward888/llava-llama-3-8b-v1_1-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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image-text-to-text | xtuner |
# djward888/llava-llama-3-8b-v1_1-Q4_0-GGUF
This model was converted to GGUF format from [`xtuner/llava-llama-3-8b-v1_1`](https://huggingface.co/xtuner/llava-llama-3-8b-v1_1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](... | {"library_name": "xtuner", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Lin-Chen/ShareGPT4V"], "pipeline_tag": "image-text-to-text"} | djward888/llava-llama-3-8b-v1_1-Q4_0-GGUF | null | [
"xtuner",
"gguf",
"llama-cpp",
"gguf-my-repo",
"image-text-to-text",
"dataset:Lin-Chen/ShareGPT4V",
"region:us"
] | null | 2024-04-22T20:10:08+00:00 | [] | [] | TAGS
#xtuner #gguf #llama-cpp #gguf-my-repo #image-text-to-text #dataset-Lin-Chen/ShareGPT4V #region-us
|
# djward888/llava-llama-3-8b-v1_1-Q4_0-GGUF
This model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Ser... | [
"# djward888/llava-llama-3-8b-v1_1-Q4_0-GGUF\nThis model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the C... | [
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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": []} | GiorgiSekhniashvili/moondream_vision_llm | null | [
"transformers",
"safetensors",
"moondream1",
"text-generation",
"custom_code",
"arxiv:1910.09700",
"autotrain_compatible",
"region:us"
] | null | 2024-04-22T20:10:14+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #moondream1 #text-generation #custom_code #arxiv-1910.09700 #autotrain_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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text-generation | transformers |
# 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": []} | dmvaldman/showerthought_orpo_deepseek_base | null | [
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"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-22T20:11:07+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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text-generation | transformers | **General-Stories-Mistral-7B**
This model is based on my dataset [General-Stories-Collection](https://huggingface.co/datasets/ajibawa-2023/General-Stories-Collection) which has **1.3 million** stories especially meant for General audience.
After an extensive training period spanning over 15 days, this model has been ... | {"language": ["en"], "license": "apache-2.0", "tags": ["story", "art", "general audience", "knowledge"], "datasets": ["ajibawa-2023/General-Stories-Collection"]} | blockblockblock/General-Stories-Mistral-7B-bpw2.25 | null | [
"transformers",
"pytorch",
"mistral",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"regio... | null | 2024-04-22T20:11:37+00:00 | [] | [
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| General-Stories-Mistral-7B
This model is based on my dataset General-Stories-Collection which has 1.3 million stories especially meant for General audience.
After an extensive training period spanning over 15 days, this model has been meticulously honed to deliver captivating narratives with broad appeal.
Leveraging... | [] | [
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] |
reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | TheWalder/ppo-Huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-22T20:11:40+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
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 you te... | [
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutorial* wh... | [
"TAGS\n#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us \n",
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n W... | [
35,
199
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"TAGS\n#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us \n# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrot... |
image-text-to-text | xtuner |
# djward888/llava-llama-3-8b-v1_1-Q3_K_L-GGUF
This model was converted to GGUF format from [`xtuner/llava-llama-3-8b-v1_1`](https://huggingface.co/xtuner/llava-llama-3-8b-v1_1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card... | {"library_name": "xtuner", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Lin-Chen/ShareGPT4V"], "pipeline_tag": "image-text-to-text"} | djward888/llava-llama-3-8b-v1_1-Q3_K_L-GGUF | null | [
"xtuner",
"gguf",
"llama-cpp",
"gguf-my-repo",
"image-text-to-text",
"dataset:Lin-Chen/ShareGPT4V",
"region:us"
] | null | 2024-04-22T20:11:56+00:00 | [] | [] | TAGS
#xtuner #gguf #llama-cpp #gguf-my-repo #image-text-to-text #dataset-Lin-Chen/ShareGPT4V #region-us
|
# djward888/llava-llama-3-8b-v1_1-Q3_K_L-GGUF
This model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
S... | [
"# djward888/llava-llama-3-8b-v1_1-Q3_K_L-GGUF\nThis model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the... | [
"TAGS\n#xtuner #gguf #llama-cpp #gguf-my-repo #image-text-to-text #dataset-Lin-Chen/ShareGPT4V #region-us \n",
"# djward888/llava-llama-3-8b-v1_1-Q3_K_L-GGUF\nThis model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card f... | [
49,
96,
52
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"TAGS\n#xtuner #gguf #llama-cpp #gguf-my-repo #image-text-to-text #dataset-Lin-Chen/ShareGPT4V #region-us \n# djward888/llava-llama-3-8b-v1_1-Q3_K_L-GGUF\nThis model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for mor... |
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": []} | utahnlp/llama2_7b_magnitude_0.5_tulu2_sft_16gpu_bs128_sumloss_sparse_deepspeed | null | [
"transformers",
"pytorch",
"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-22T20:12:02+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #pytorch #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #pytorch #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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image-text-to-text | xtuner |
# djward888/llava-llama-3-8b-v1_1-Q3_K_M-GGUF
This model was converted to GGUF format from [`xtuner/llava-llama-3-8b-v1_1`](https://huggingface.co/xtuner/llava-llama-3-8b-v1_1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card... | {"library_name": "xtuner", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Lin-Chen/ShareGPT4V"], "pipeline_tag": "image-text-to-text"} | djward888/llava-llama-3-8b-v1_1-Q3_K_M-GGUF | null | [
"xtuner",
"gguf",
"llama-cpp",
"gguf-my-repo",
"image-text-to-text",
"dataset:Lin-Chen/ShareGPT4V",
"region:us"
] | null | 2024-04-22T20:13:15+00:00 | [] | [] | TAGS
#xtuner #gguf #llama-cpp #gguf-my-repo #image-text-to-text #dataset-Lin-Chen/ShareGPT4V #region-us
|
# djward888/llava-llama-3-8b-v1_1-Q3_K_M-GGUF
This model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
S... | [
"# djward888/llava-llama-3-8b-v1_1-Q3_K_M-GGUF\nThis model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the... | [
"TAGS\n#xtuner #gguf #llama-cpp #gguf-my-repo #image-text-to-text #dataset-Lin-Chen/ShareGPT4V #region-us \n",
"# djward888/llava-llama-3-8b-v1_1-Q3_K_M-GGUF\nThis model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card f... | [
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"TAGS\n#xtuner #gguf #llama-cpp #gguf-my-repo #image-text-to-text #dataset-Lin-Chen/ShareGPT4V #region-us \n# djward888/llava-llama-3-8b-v1_1-Q3_K_M-GGUF\nThis model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for mor... |
image-text-to-text | xtuner |
# djward888/llava-llama-3-8b-v1_1-Q3_K_S-GGUF
This model was converted to GGUF format from [`xtuner/llava-llama-3-8b-v1_1`](https://huggingface.co/xtuner/llava-llama-3-8b-v1_1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card... | {"library_name": "xtuner", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Lin-Chen/ShareGPT4V"], "pipeline_tag": "image-text-to-text"} | djward888/llava-llama-3-8b-v1_1-Q3_K_S-GGUF | null | [
"xtuner",
"gguf",
"llama-cpp",
"gguf-my-repo",
"image-text-to-text",
"dataset:Lin-Chen/ShareGPT4V",
"region:us"
] | null | 2024-04-22T20:14:28+00:00 | [] | [] | TAGS
#xtuner #gguf #llama-cpp #gguf-my-repo #image-text-to-text #dataset-Lin-Chen/ShareGPT4V #region-us
|
# djward888/llava-llama-3-8b-v1_1-Q3_K_S-GGUF
This model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
S... | [
"# djward888/llava-llama-3-8b-v1_1-Q3_K_S-GGUF\nThis model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the... | [
"TAGS\n#xtuner #gguf #llama-cpp #gguf-my-repo #image-text-to-text #dataset-Lin-Chen/ShareGPT4V #region-us \n",
"# djward888/llava-llama-3-8b-v1_1-Q3_K_S-GGUF\nThis model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card f... | [
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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": "deepseek-ai/deepseek-coder-1.3b-instruct"} | CMU-AIR2/math-deepseek-lora-arith-curriculum-per-subject | null | [
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"safetensors",
"llama",
"arxiv:1910.09700",
"base_model:deepseek-ai/deepseek-coder-1.3b-instruct",
"region:us"
] | null | 2024-04-22T20:14:36+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #llama #arxiv-1910.09700 #base_model-deepseek-ai/deepseek-coder-1.3b-instruct #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional]:",
"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
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"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): ... | [
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image-text-to-text | xtuner |
# djward888/llava-llama-3-8b-v1_1-Q2_K-GGUF
This model was converted to GGUF format from [`xtuner/llava-llama-3-8b-v1_1`](https://huggingface.co/xtuner/llava-llama-3-8b-v1_1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](... | {"library_name": "xtuner", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Lin-Chen/ShareGPT4V"], "pipeline_tag": "image-text-to-text"} | djward888/llava-llama-3-8b-v1_1-Q2_K-GGUF | null | [
"xtuner",
"gguf",
"llama-cpp",
"gguf-my-repo",
"image-text-to-text",
"dataset:Lin-Chen/ShareGPT4V",
"region:us"
] | null | 2024-04-22T20:15:53+00:00 | [] | [] | TAGS
#xtuner #gguf #llama-cpp #gguf-my-repo #image-text-to-text #dataset-Lin-Chen/ShareGPT4V #region-us
|
# djward888/llava-llama-3-8b-v1_1-Q2_K-GGUF
This model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Ser... | [
"# djward888/llava-llama-3-8b-v1_1-Q2_K-GGUF\nThis model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the C... | [
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"# djward888/llava-llama-3-8b-v1_1-Q2_K-GGUF\nThis model was converted to GGUF format from 'xtuner/llava-llama-3-8b-v1_1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Baby-Llama-58M-ORIGINAL
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "Baby-Llama-58M-ORIGINAL", "results": []}]} | ninagroot/Baby-Llama-58M-RUN3_2 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-22T20:16:26+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Baby-Llama-58M-ORIGINAL
=======================
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 4.1715
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.00025\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: cosine\n* lr\\_scheduler\\_warmup\\_step... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/Kquant03/Eukaryote-8x7B-bf16
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Eukaryote-8x... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "moe"], "base_model": "Kquant03/Eukaryote-8x7B-bf16", "quantized_by": "mradermacher"} | mradermacher/Eukaryote-8x7B-bf16-i1-GGUF | null | [
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"moe",
"en",
"base_model:Kquant03/Eukaryote-8x7B-bf16",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-22T20:18:08+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #moe #en #base_model-Kquant03/Eukaryote-8x7B-bf16 #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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] |
token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shubhanker1234/nl-htfl | null | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-22T20:19:03+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** grahamaco
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/tinyllama-bnb-4bit"} | grahamaco/TinyLlama-SFT-Unsloth-LR1e-5-rsQLoRA | null | [
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|
# Uploaded model
- Developed by: grahamaco
- License: apache-2.0
- Finetuned from model : unsloth/tinyllama-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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null | null | transforms.Resize((config.image_size, config.image_size)),
# transforms.RandomHorizontalFlip(),
transforms.ToTensor(),
transforms.RandomRotation(5),
transforms.Normalize([0.5], [0.5]),
]
image_size = 128 # the generated image resolution
train_batch_size = 16
eval_batch_si... | {} | Giux22/semana7-patrones_escalonados_con_fondo | null | [
"region:us"
] | null | 2024-04-22T20:20:37+00:00 | [] | [] | TAGS
#region-us
| transforms.Resize((config.image_size, config.image_size)),
# transforms.RandomHorizontalFlip(),
transforms.ToTensor(),
transforms.RandomRotation(5),
transforms.Normalize([0.5], [0.5]),
]
image_size = 128 # the generated image resolution
train_batch_size = 16
eval_batch_si... | [
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text-generation | null |
## Llamacpp iMatrix Quantizations of General-Stories-Mistral-7B
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2714">b2714</a> for quantization.
Original model: https://huggingface.co/ajibawa-2023/General-Stories-Mistral-7B
... | {"language": ["en"], "license": "apache-2.0", "tags": ["story", "art", "general audience", "knowledge"], "datasets": ["ajibawa-2023/General-Stories-Collection"], "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/General-Stories-Mistral-7B-GGUF | null | [
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"general audience",
"knowledge",
"text-generation",
"en",
"dataset:ajibawa-2023/General-Stories-Collection",
"license:apache-2.0",
"region:us"
] | null | 2024-04-22T20:24:44+00:00 | [] | [
"en"
] | TAGS
#gguf #story #art #general audience #knowledge #text-generation #en #dataset-ajibawa-2023/General-Stories-Collection #license-apache-2.0 #region-us
| Llamacpp iMatrix Quantizations of General-Stories-Mistral-7B
------------------------------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
All quants made using imatrix option with dataset provided by Kalomaze here
Prompt format
-------------
Downlo... | [] | [
"TAGS\n#gguf #story #art #general audience #knowledge #text-generation #en #dataset-ajibawa-2023/General-Stories-Collection #license-apache-2.0 #region-us \n"
] | [
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] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/llama2_7b_sparsegpt_0.5_tulu2_sft_16gpu_bs128_sumloss_sparse_deepspeed | null | [
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"llama",
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-22T20:24:51+00:00 | [
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#transformers #pytorch #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-generation | null |
# Llama-3-8B-Omnibus-1-PL-v01-INSTRUCT-GGUF
To repozytorum zawiera konwersję modeli Llama-3-8B-Omnibus-1-PL-v01-INSTRUCT do formatu GGUF - Q8_0 oraz Q4_K_M. Przetestowana została w dwóch środowiskach uruchomieniowych:
#### LM Studio
Wersja minimum 0.2.20 - koniecznie wybierz format promptu Llama 3 (!) (opcja Preset... | {"language": ["pl", "en"], "pipeline_tag": "text-generation"} | Remek/Llama-3-8B-Omnibus-1-PL-v01-INSTRUCT-GGUF | null | [
"gguf",
"text-generation",
"pl",
"en",
"region:us"
] | null | 2024-04-22T20:25:02+00:00 | [] | [
"pl",
"en"
] | TAGS
#gguf #text-generation #pl #en #region-us
|
# Llama-3-8B-Omnibus-1-PL-v01-INSTRUCT-GGUF
To repozytorum zawiera konwersję modeli Llama-3-8B-Omnibus-1-PL-v01-INSTRUCT do formatu GGUF - Q8_0 oraz Q4_K_M. Przetestowana została w dwóch środowiskach uruchomieniowych:
#### LM Studio
Wersja minimum 0.2.20 - koniecznie wybierz format promptu Llama 3 (!) (opcja Preset... | [
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text-generation | transformers | **General-Stories-Mistral-7B**
This model is based on my dataset [General-Stories-Collection](https://huggingface.co/datasets/ajibawa-2023/General-Stories-Collection) which has **1.3 million** stories especially meant for General audience.
After an extensive training period spanning over 15 days, this model has been ... | {"language": ["en"], "license": "apache-2.0", "tags": ["story", "art", "general audience", "knowledge"], "datasets": ["ajibawa-2023/General-Stories-Collection"]} | blockblockblock/General-Stories-Mistral-7B-bpw2.5 | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"regio... | null | 2024-04-22T20:25:10+00:00 | [] | [
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| General-Stories-Mistral-7B
This model is based on my dataset General-Stories-Collection which has 1.3 million stories especially meant for General audience.
After an extensive training period spanning over 15 days, this model has been meticulously honed to deliver captivating narratives with broad appeal.
Leveraging... | [] | [
"TAGS\n#transformers #pytorch #mistral #text-generation #story #art #general audience #knowledge #conversational #en #dataset-ajibawa-2023/General-Stories-Collection #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
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] |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | CalvinYorkCS/ppo-LunarLandar-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-22T20:27:18+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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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": []} | research-dump/Fine_tuned_bert-base-uncased_lr_0.0002_epochs_2 | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-22T20:28:29+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [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]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "deepseek-ai/deepseek-coder-1.3b-instruct"} | CMU-AIR2/math-deepseek-baseline-FTMWP-LORA | 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]
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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": []} | research-dump/Fine_tuned_bert-base-uncased_lr_0.0002_epochs_5 | null | [
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"safetensors",
"bert",
"text-classification",
"arxiv:1910.09700",
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|
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### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# wav2vec2-turkish-300m-2
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_16_1"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-xls-r-300m", "model-index": [{"name": "wav2vec2-turkish-300m-2", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "d... | tgrhn/wav2vec2-turkish-300m-2 | null | [
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| wav2vec2-turkish-300m-2
=======================
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common\_voice\_16\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3293
* Wer: 0.2786
Model description
-----------------
More information needed
Intended use... | [
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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": []} | research-dump/Fine_tuned_bert-base-uncased_lr_0.0002_epochs_10 | 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-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. -->
# results
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It achiev... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "results", "results": []}]} | KraMias/results | null | [
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| results
=======
This model is a fine-tuned version of roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2979
* Accuracy: 0.8913
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More informat... | [
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video-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. -->
# videomae-base-finetuned-isl-numbers_aug
This model is a fine-tuned version of [latif98/videomae-base-finetuned-isl-numbers](http... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "latif98/videomae-base-finetuned-isl-numbers", "model-index": [{"name": "videomae-base-finetuned-isl-numbers_aug", "results": []}]} | latif98/videomae-base-finetuned-isl-numbers_aug | null | [
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| videomae-base-finetuned-isl-numbers\_aug
========================================
This model is a fine-tuned version of latif98/videomae-base-finetuned-isl-numbers on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0257
* Accuracy: 0.9930
Model description
-----------------
... | [
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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. -->
# roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT_AugmentedTransfer_ES-finetuned-ner
This model is a fine-tuned version of... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "StivenLancheros/roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT_AugmentedTransfer_ES", "model-index": [{"name": "roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT_AugmentedTra... | jaggernaut007/roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT_AugmentedTransfer_ES-finetuned-ner | null | [
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| roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT\_AugmentedTransfer\_ES-finetuned-ner
============================================================================================
This model is a fine-tuned version of StivenLancheros/roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT\_AugmentedTransfer\_ES... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | relu-ntnu/pegasus-cnn_dailymail_v4_trained_on_500_lr_5e-5_r8_a16_all_layers | 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 | 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. -->
# bert-finetuned-ner11
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-ner11", "results": []}]} | BrandonM001/bert-finetuned-ner11 | null | [
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| bert-finetuned-ner11
====================
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
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* Loss: 0.0612
* Precision: 0.9380
* Recall: 0.9525
* F1: 0.9452
* Accuracy: 0.9870
Model description
-----------------
More information... | [
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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 |
# Model Card for Model ID
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### 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-llamalfg | null | [
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
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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": []} | piegarroni/Llama-2-7b-hf-csv-conversion-cense-v3 | null | [
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# Model Card for Model ID
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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"]} | eulpicard/ppo-PyramidsRND | null | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
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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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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": []} | research-dump/Fine_tuned_bert-base-uncased_lr_2e-05_epochs_20 | null | [
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"safetensors",
"bert",
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"endpoints_compatible",
"region:us"
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#transformers #safetensors #bert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# byt5_3k_4d
This model is a fine-tuned version of [google/byt5-small](https://huggingface.co/google/byt5-small) on an unknown dat... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/byt5-small", "model-index": [{"name": "byt5_3k_4d", "results": []}]} | AlexWang99/4d-addition-3000 | null | [
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| byt5\_3k\_4d
============
This model is a fine-tuned version of google/byt5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0348
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More informatio... | [
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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": []} | research-dump/Fine_tuned_bert-base-uncased_lr_2e-05_epochs_30 | 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 [google-t5/t5-small](https://huggingface.co/google-t5/t5-small... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "google-t5/t5-small", "model-index": [{"name": "my_awesome_opus_books_model", "results": []}]} | ljgries/my_awesome_opus_books_model | null | [
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| my\_awesome\_opus\_books\_model
===============================
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3733
* Bleu: 0.1996
* Gen Len: 18.1718
Model description
-----------------
More information needed
... | [
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text-generation | transformers | **General-Stories-Mistral-7B**
This model is based on my dataset [General-Stories-Collection](https://huggingface.co/datasets/ajibawa-2023/General-Stories-Collection) which has **1.3 million** stories especially meant for General audience.
After an extensive training period spanning over 15 days, this model has been ... | {"language": ["en"], "license": "apache-2.0", "tags": ["story", "art", "general audience", "knowledge"], "datasets": ["ajibawa-2023/General-Stories-Collection"]} | blockblockblock/General-Stories-Mistral-7B-bpw3 | null | [
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| General-Stories-Mistral-7B
This model is based on my dataset General-Stories-Collection which has 1.3 million stories especially meant for General audience.
After an extensive training period spanning over 15 days, this model has been meticulously honed to deliver captivating narratives with broad appeal.
Leveraging... | [] | [
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] |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | relu-ntnu/pegasus-large_v4_trained_on_10_lr_5e-5_r8_a16_all_layers | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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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": []} | research-dump/Fine_tuned_bert-base-uncased_lr_2e-05_epochs_50 | null | [
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"arxiv:1910.09700",
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|
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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 | ## Como Utilizar
```
import transformers
import torch
model_id = "adalbertojunior/Llama-3-8B-Instruct-Portuguese-v0.2-fft"
pipeline = transformers.pipeline(
"text-generation",
model=model_id,
model_kwargs={"torch_dtype": torch.bfloat16},
device="auto",
)
messages = [
{"role": "system", "content":... | {"language": ["pt"], "datasets": ["adalbertojunior/dolphin_pt_test"]} | adalbertojunior/Llama-3-8B-Instruct-Portuguese-v0.2-fft | null | [
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| ## Como Utilizar
### Formato do prompt
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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": []} | research-dump/Fine_tuned_bert-base-uncased_lr_4e-05_epochs_10 | null | [
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"arxiv:1910.09700",
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"endpoints_compatible",
"region:us"
] | null | 2024-04-22T20:40:25+00:00 | [
"1910.09700"
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#transformers #safetensors #bert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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null | transformers |
# Uploaded model
- **Developed by:** rantidevsharma
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
| {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | rantidevsharma/lora_model | null | [
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# Uploaded model
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- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
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