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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
# ***Project Information***
*... | {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-Unit4-1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"typ... | Saraaaaaaaaa/Reinforce-Unit4-1 | null | [
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|
# 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
# *Project Information*
Policy-based learning is directly approximating π without having to learn ... | [
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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": []} | abhayesian/BobzillaV30 | null | [
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# Model Card for Model ID
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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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image-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# agusg6/2cla_classification
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "agusg6/2cla_classification", "results": []}]} | agusg6/2cla_classification | null | [
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| agusg6/2cla\_classification
===========================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.4712
* Validation Loss: 0.4240
* Train Accuracy: 0.8144
* Epoch: 4
Model description
-----... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
eval_accuracy: 0.7110014287569815
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Nee... | {"library_name": "peft", "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-AWQ"} | Jennny/anthro_rm_144k_awq | null | [
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# Model Card for Model ID
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## Model Details
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | relu-ntnu/bart-large-xsum_v4_trained_on_250_lr_1e-4 | null | [
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null | null |
<p align="center">
<img style="width: 20%;" src="llasmol.png">
</p>
<h1 align="center"> LlaSMol </h1>
<h3 align="center"> LlaSMol-Galactica-6.7B </h3>
**Paper**: [LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset](https://arxiv.org/abs... | {"language": ["en"], "license": "cc-by-4.0", "tags": ["instruction tuning", "chemistry", "molecule", "small molecule"]} | osunlp/LlaSMol-Galactica-6.7B | null | [
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|
<p align="center">
<img style="width: 20%;" src="URL">
</p>
<h1 align="center"> LlaSMol </h1>
<h3 align="center"> LlaSMol-Galactica-6.7B </h3>
Paper: LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset
Page: URL
Code: URL
Models:
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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]
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- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "shrenikb/LLaMA0.5sparsity"} | shrenikb/wanda50sparsity | null | [
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null | null |
<p align="center">
<img style="width: 20%;" src="llasmol.png">
</p>
<h1 align="center"> LlaSMol </h1>
<h3 align="center"> LlaSMol-CodeLlama-7B </h3>
**Paper**: [LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset](https://arxiv.org/abs/2... | {"language": ["en"], "license": "cc-by-4.0", "tags": ["instruction tuning", "chemistry", "molecule", "small molecule"]} | osunlp/LlaSMol-CodeLlama-7B | null | [
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<p align="center">
<img style="width: 20%;" src="URL">
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<h1 align="center"> LlaSMol </h1>
<h3 align="center"> LlaSMol-CodeLlama-7B </h3>
Paper: LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset
Page: URL
Code: URL
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# RM-HH-AllMix_harmless_gpt3_20000_gemma2b_shuffleFalse_extractchosenTrue
This model is a fine-tuned version of [google/gemma-2b](... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/gemma-2b", "model-index": [{"name": "RM-HH-AllMix_harmless_gpt3_20000_gemma2b_shuffleFalse_extractchosenTrue", "results": []}]} | Holarissun/RM-HH-AllMix_harmless_gpt3_20000_gemma2b_shuffleFalse_extractchosenTrue | null | [
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| RM-HH-AllMix\_harmless\_gpt3\_20000\_gemma2b\_shuffleFalse\_extractchosenTrue
=============================================================================
This model is a fine-tuned version of google/gemma-2b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1748
* Accuracy: 0... | [
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null | null |
# cleatherbury/M7-7b-Q8_0-GGUF
This model was converted to GGUF format from [`liminerity/M7-7b`](https://huggingface.co/liminerity/M7-7b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/liminerity/M7-... | {"license": "apache-2.0", "tags": ["liminerity/merge4", "liminerity/merge2", "merge", "merged", "mergedllm", "mergee", "mergedededed", "memfdmsfndsfjkasjkl", "llama-cpp", "gguf-my-repo"]} | cleatherbury/M7-7b-Q8_0-GGUF | null | [
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|
# cleatherbury/M7-7b-Q8_0-GGUF
This model was converted to GGUF format from 'liminerity/M7-7b' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You can als... | [
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null | transformers |
# Uploaded model
- **Developed by:** anton96vice
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-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/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | anton96vice/AV-telegram-llama3-8b-in | null | [
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# Uploaded model
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This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | relu-ntnu/bart-large-xsum_v4_trained_on_500_lr_1e-4 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # Chaos RP

A chaotic force beckons for you, will you heed her call?
Built upon an intelligent foundation and tuned for roleplaying, this model will fulfill your wildest fantasies with the bare minim... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": ["ChaoticNeutrals/IQ_Test_l3_8B", "ResplendentAI/RP_Format_QuoteAsterisk_Llama3"]} | jeiku/Chaos_RP_l3_8B | null | [
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| # Chaos RP
!image/png
A chaotic force beckons for you, will you heed her call?
Built upon an intelligent foundation and tuned for roleplaying, this model will fulfill your wildest fantasies with the bare minimum of effort.
Enjoy! | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-cola
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["matthews_correlation"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-cola", "results": []}]} | harrisr-smu/distilbert-base-uncased-finetuned-cola | null | [
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| distilbert-base-uncased-finetuned-cola
======================================
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: 0.8293
* Matthews Correlation: 0.5335
Model description
-----------------
More infor... | [
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null | trl |
# Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.24-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: Experiment on DPO with other hyperparam... | {"language": ["pt"], "license": "mit", "library_name": "trl", "tags": ["DPO", "WeniGPT"], "base_model": "Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged", "model-index": [{"name": "Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.24-DPO", "results": []}]} | Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.24-DPO | null | [
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|
# Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.24-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for Weni.
Description: Experiment on DPO with other hyperparameters and best SFT m... | [
"# Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.24-DPO\n\nThis model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for Weni.\nDescription: Experiment on DPO with other hyperparameters and bes... | [
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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": []} | kubwa/gemma-2b-sql-ian | null | [
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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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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0001_ablation_4iters_bs256_iter_2
This model is a fine-tuned version of [ShenaoZ/0.0001_ablation_4iters_bs256_iter_1](https://... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.0001_ablation_4iters_bs256_iter_1", "model-index": [{"name": "0.0001_ablation_4iters_bs256_iter_2", "results": []}]} | ShenaoZ/0.0001_ablation_4iters_bs256_iter_2 | null | [
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|
# 0.0001_ablation_4iters_bs256_iter_2
This model is a fine-tuned version of ShenaoZ/0.0001_ablation_4iters_bs256_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | relu-ntnu/bart-large-xsum_v4_trained_on_1000_lr_1e-4 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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- License... | [
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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": []} | niranjanramarajar/llama3-tamil-finetuned-base-v1 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
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null | null |
# cleatherbury/SOLAR-10.7B-Q8_0-GGUF
This model was converted to GGUF format from [`krevas/SOLAR-10.7B`](https://huggingface.co/krevas/SOLAR-10.7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/krev... | {"language": ["ko"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | cleatherbury/SOLAR-10.7B-Q8_0-GGUF | null | [
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#gguf #llama-cpp #gguf-my-repo #ko #license-apache-2.0 #region-us
|
# cleatherbury/SOLAR-10.7B-Q8_0-GGUF
This model was converted to GGUF format from 'krevas/SOLAR-10.7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You... | [
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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": []} | domenicrosati/adversarial_loss_lr_1e-5_model_meta-llama_Llama-2-7b-chat-hf_batch_4_epoch_4_num_layers_6 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/sad_llama_20 | null | [
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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reinforcement-learning | transformers |
# TRL Model
This is a [TRL language model](https://github.com/huggingface/trl) that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TR... | {"license": "apache-2.0", "tags": ["trl", "ppo", "transformers", "reinforcement-learning"]} | baek26/all_6417_bart-base_rl | null | [
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|
# TRL Model
This is a TRL language model that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TRL library:
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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": "mistralai/Mistral-7B-Instruct-v0.2"} | epiverseai/mistral-7b-r-data-science | null | [
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#peft #safetensors #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #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:
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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_5iters_bs256_iter_3
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_5iters_bs256_iter_2](https://hu... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_5iters_bs256_iter_2", "model-index": [{"name": "0.001_ablation_5iters_bs256_iter_3", "results": []}]} | ShenaoZ/0.001_ablation_5iters_bs256_iter_3 | null | [
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"endpoints_c... | null | 2024-04-22T02:10:49+00:00 | [] | [] | TAGS
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|
# 0.001_ablation_5iters_bs256_iter_3
This model is a fine-tuned version of ShenaoZ/0.001_ablation_5iters_bs256_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information n... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# RM-HH-AllMix_harmless_gpt3_20000_gemma2b_shuffleFalse_extractchosenFalse
This model is a fine-tuned version of [google/gemma-2b]... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/gemma-2b", "model-index": [{"name": "RM-HH-AllMix_harmless_gpt3_20000_gemma2b_shuffleFalse_extractchosenFalse", "results": []}]} | Holarissun/RM-HH-AllMix_harmless_gpt3_20000_gemma2b_shuffleFalse_extractchosenFalse | null | [
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#peft #safetensors #trl #reward-trainer #generated_from_trainer #base_model-google/gemma-2b #license-gemma #region-us
| RM-HH-AllMix\_harmless\_gpt3\_20000\_gemma2b\_shuffleFalse\_extractchosenFalse
==============================================================================
This model is a fine-tuned version of google/gemma-2b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0554
* Accuracy:... | [
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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. -->
# 0.0_ablation_5iters_iter_3
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_5iters_iter_2](https://huggingface.co... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_5iters_dataset"], "base_model": "ZhangShenao/0.0_ablation_5iters_iter_2", "model-index": [{"name": "0.0_ablation_5iters_iter_3", "results": []}]} | ZhangShenao/0.0_ablation_5iters_iter_3 | null | [
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"license:mit",
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"endpo... | null | 2024-04-22T02:12:44+00:00 | [] | [] | TAGS
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# 0.0_ablation_5iters_iter_3
This model is a fine-tuned version of ZhangShenao/0.0_ablation_5iters_iter_2 on the ZhangShenao/0.0_ablation_5iters_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information... | [
"# 0.0_ablation_5iters_iter_3\n\nThis model is a fine-tuned version of ZhangShenao/0.0_ablation_5iters_iter_2 on the ZhangShenao/0.0_ablation_5iters_dataset dataset.",
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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": "shrenikb/LLaMA0.5sparsity"} | shrenikb/wanda50sparsityagg | null | [
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#peft #safetensors #arxiv-1910.09700 #base_model-shrenikb/LLaMA0.5sparsity #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
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null | transformers |
# jeiku/Chaos_RP_l3_8B-Q4_K_M-GGUF
This model was converted to GGUF format from [`jeiku/Chaos_RP_l3_8B`](https://huggingface.co/jeiku/Chaos_RP_l3_8B) 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](https://huggingface.co/je... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "base_model": ["ChaoticNeutrals/IQ_Test_l3_8B", "ResplendentAI/RP_Format_QuoteAsterisk_Llama3"]} | jeiku/Chaos_RP_l3_8B-Q4_K_M-GGUF | null | [
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|
# jeiku/Chaos_RP_l3_8B-Q4_K_M-GGUF
This model was converted to GGUF format from 'jeiku/Chaos_RP_l3_8B' 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:
Server:
Note: You... | [
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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": []} | Weblet/phi-1-turbo1713752796M | null | [
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null | null | <!-- header start -->
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<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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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. -->
# COLX_563_lab4_intent
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None datas... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "COLX_563_lab4_intent", "results": []}]} | RyanZZZZZ/COLX_563_lab4_intent | null | [
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# COLX_563_lab4_intent
This model is a fine-tuned version of roberta-base on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0398
- F1 Score: 0.9952
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluatio... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** Chandrateja
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-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/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | Chandrateja/lamma3-8b-instruct | null | [
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# Uploaded model
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<img src="URL width="200"/>
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# RM-HH-AllMix_harmless_gpt3_20000_gemma2b_shuffleTrue_extractchosenFalse
This model is a fine-tuned version of [google/gemma-2b](... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/gemma-2b", "model-index": [{"name": "RM-HH-AllMix_harmless_gpt3_20000_gemma2b_shuffleTrue_extractchosenFalse", "results": []}]} | Holarissun/RM-HH-AllMix_harmless_gpt3_20000_gemma2b_shuffleTrue_extractchosenFalse | null | [
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| RM-HH-AllMix\_harmless\_gpt3\_20000\_gemma2b\_shuffleTrue\_extractchosenFalse
=============================================================================
This model is a fine-tuned version of google/gemma-2b on the None dataset.
It achieves the following results on the evaluation set:
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Sayan01/CKA-T5-CoT-b-T1 | null | [
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## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- License... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-squad-Step1-v2
This model is a fine-tuned version of [allistair99/disti... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "allistair99/distilbert-base-uncased-distilled-squad-finetuned-SRH-v1", "model-index": [{"name": "distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-squad-Step1-v2", "results": []}]} | allistair99/distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-squad-Step1-v2 | null | [
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|
# distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-squad-Step1-v2
This model is a fine-tuned version of allistair99/distilbert-base-uncased-distilled-squad-finetuned-SRH-v1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Trai... | [
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visual-question-answering | transformers |
[Includes fixes for MultiGPU](https://github.com/OpenGVLab/InternVL/issues/96)
# Model Card for InternVL-Chat-V1.5
<p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/D60YzQBIzvoCvLRp2gZ0A.jpeg" alt="Image Description" width="300" height="300" />
</p>
> _Two ... | {"license": "mit", "datasets": ["laion/laion2B-en", "laion/laion-coco", "laion/laion2B-multi", "kakaobrain/coyo-700m", "conceptual_captions", "wanng/wukong100m"], "pipeline_tag": "visual-question-answering"} | failspy/InternVL-Chat-V1-5-8bit | null | [
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Model Card for InternVL-Chat-V1.5
=================================

>
> *Two interns holding hands, symbolizing the integration of InternViT and InternLM.*
>
>
>
[Paper] [GitHub] [Chat Demo] [中文解读]
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | heyllm234/sc60 | null | [
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# Model Card for Model ID
## Model Details
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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_Gpt4_t1_tiny_Seed104 | null | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_Gpt4_t1_tiny_Seed104 | null | [
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### Model Description
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text-to-image | diffusers |
This model has been trained with Pixart-sigma in multistep 512 pixels mode.
It replicates the style of pornstars in the 1990 with great assets and also introduce an analog film effect to the picture.
 parameter SLM for programming based on TinyLlama. It shows promising early results but has not been extensively tested.
The model was trained using supervised fine tuning (SFT) for 1 epoch on a large dataset of conversational code genera... | {"license": "other", "tags": ["code", "chatml"], "license_name": "localcoder", "license_link": "LICENSE"} | mrfakename/localcoder-0 | null | [
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<img src="URL" style="max-height: 200px">
# LocalCoder-v0
A tiny (1.1B) parameter SLM for programming based on TinyLlama. It shows promising early results but has not been extensively tested.
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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": []} | domenicrosati/adversarial_loss_lr_1e-5_attack_meta-llama_Llama-2-7b-chat-hf_4_num_layers_6_3e-5_1k | 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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null | adapter-transformers |
# Adapter `ltuzova/classification_tapt_seq_bn_add_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness/) dataset.
This adapter was created for usage with the **[Ad... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_helpfulness"]} | ltuzova/classification_tapt_seq_bn_add_adapter | null | [
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# Adapter 'ltuzova/classification_tapt_seq_bn_add_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset.
This adapter was created for usage with the Adapters library.
## Usage
First, install 'adapters':
Now, the adapter can be loaded and a... | [
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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": "shrenikb/LLaMA0.75sparsity"} | shrenikb/wanda75sparsityagg | null | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "shrenikb/LLaMA0.25sparsity"} | shrenikb/wanda25sparsityagg | null | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
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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": "shrenikb/LLaMA0.25sparsity"} | shrenikb/wanda25sparsity | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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reinforcement-learning | ml-agents |
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos**
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-Docum... | {"library_name": "ml-agents", "tags": ["SoccerTwos", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SoccerTwos"]} | conlan/poca-SoccerTwos | null | [
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|
# poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos
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* ... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | NBA55/Final_DPO_grade_1_single_digit_adition | null | [
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#peft #region-us
| ## Training procedure
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- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | [
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null | trl |
# Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.25-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: Experiment on DPO with other hyperparam... | {"language": ["pt"], "license": "mit", "library_name": "trl", "tags": ["DPO", "WeniGPT"], "base_model": "Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged", "model-index": [{"name": "Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.25-DPO", "results": []}]} | Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.25-DPO | null | [
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|
# Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-1.0.25-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.0-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for Weni.
Description: Experiment on DPO with other hyperparameters and best SFT m... | [
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text-generation | transformers |
Meta's Llama 3 70B pruned to 42B parameters using the methodology described in [The Unreasonable Ineffectiveness of the Deeper Layers](https://arxiv.org/abs/2403.17887). Post-pruning trained using QLoRA for ~100M tokens from [JeanKaddour/minipile](https://huggingface.co/datasets/JeanKaddour/minipile).
Layers to prune... | {"language": ["en"], "license": "other", "tags": ["axolotl", "mergekit", "llama"], "datasets": ["JeanKaddour/minipile"]} | lucyknada/chargoddard_llama3-42b-v0-3.8bpw-EXL2 | null | [
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| Meta's Llama 3 70B pruned to 42B parameters using the methodology described in The Unreasonable Ineffectiveness of the Deeper Layers. Post-pruning trained using QLoRA for ~100M tokens from JeanKaddour/minipile.
Layers to prune selected using PruneMe.
Still evaluating, don't get too excited! Might be incredibly dumb... | [] | [
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text-generation | null |
## Exllama v2 Quantizations of L3-Solana-8B-v1
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 branch contain... | {"language": ["en"], "license": "cc-by-nc-4.0", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/L3-Solana-8B-v1-exl2 | null | [
"text-generation",
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"region:us"
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"en"
] | TAGS
#text-generation #en #license-cc-by-nc-4.0 #region-us
| Exllama v2 Quantizations of L3-Solana-8B-v1
-------------------------------------------
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)**
Each branch contains an individual bits per weight, with the main... | [] | [
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null | transformers |
# Uploaded model
- **Developed by:** Chandrateja
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-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/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | Chandrateja/lamma3-8b-instruct_lora | null | [
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|
# Uploaded model
- Developed by: Chandrateja
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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reinforcement-learning | 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_Cart_Pole", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics... | izaznov/Reinforce-policy_Cart_Pole | null | [
"CartPole-v1",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-22T02:49:26+00:00 | [] | [] | TAGS
#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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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": []} | ojasviyadav/gemma-instruct-tutorial-test | null | [
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#transformers #safetensors #gemma #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #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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- Funded by [optional]:
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text-generation | transformers |
Meta's Llama 3 70B pruned to 42B parameters using the methodology described in [The Unreasonable Ineffectiveness of the Deeper Layers](https://arxiv.org/abs/2403.17887). Post-pruning trained using QLoRA for ~100M tokens from [JeanKaddour/minipile](https://huggingface.co/datasets/JeanKaddour/minipile).
Layers to prune... | {"language": ["en"], "license": "other", "tags": ["axolotl", "mergekit", "llama"], "datasets": ["JeanKaddour/minipile"]} | lucyknada/chargoddard_llama3-42b-v0-3.5bpw-EXL2 | null | [
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| Meta's Llama 3 70B pruned to 42B parameters using the methodology described in The Unreasonable Ineffectiveness of the Deeper Layers. Post-pruning trained using QLoRA for ~100M tokens from JeanKaddour/minipile.
Layers to prune selected using PruneMe.
Still evaluating, don't get too excited! Might be incredibly dumb... | [] | [
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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": []} | Weblet/phi-1-turbo171375359201726_mlabonne-guanaco-llama2-1k_train | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |

# flammen21-mistral-7B
A Mistral 7B LLM built from merging pretrained models and finetuning on [flammenai/Date-DPO-v2](https://huggingface.co/datasets/flammenai/Date-DPO-v2).
Flammen specializes in exceptional characte... | {"license": "apache-2.0", "library_name": "transformers", "datasets": ["flammenai/Date-DPO-v2"], "base_model": ["flammenai/flammen20-mistral-7B"]} | flammenai/flammen21-mistral-7B | null | [
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|
!image/png
# flammen21-mistral-7B
A Mistral 7B LLM built from merging pretrained models and finetuning on flammenai/Date-DPO-v2.
Flammen specializes in exceptional character roleplay, creative writing, and general intelligence
### Method
Finetuned using an L4 on Google Colab.
Fine-tune a Mistral-7b model with Di... | [
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null | 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. -->
# IS557_TrOCR_new
This model is a fine-tuned version of [microsoft/trocr-base-stage1](https://huggingface.co/microsoft/trocr-base-... | {"tags": ["generated_from_trainer"], "base_model": "microsoft/trocr-base-stage1", "model-index": [{"name": "IS557_TrOCR_new", "results": []}]} | ShuyiGuo/IS557_TrOCR_new | null | [
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|
# IS557_TrOCR_new
This model is a fine-tuned version of microsoft/trocr-base-stage1 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 hyperparam... | [
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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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text-generation | transformers |
# Gemma 2B Translation v0.121
- Eval Loss: `0.3734`
- Train Loss: `0.3929`
- lr: `6e-05`
- optimizer: adamw
- lr_scheduler_type: cosine
## Prompt Template
```
<bos>##English##
Hamsters don't eat cats.
##Korean##
햄스터는 고양이를 먹지 않습니다.<eos>
```
```
<bos>##Korean##
햄스터는 고양이를 먹지 않습니다.
##English##
Hamsters don't e... | {"language": ["ko"], "license": "gemma", "library_name": "transformers", "tags": ["gemma", "pytorch", "instruct", "finetune", "translation"], "datasets": ["traintogpb/aihub-flores-koen-integrated-sparta-30k", "lemon-mint/korean_high_quality_translation_426k"], "widget": [{"messages": [{"role": "user", "content": "Hamst... | lemon-mint/gemma-2b-translation-v0.121 | null | [
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"lic... | null | 2024-04-22T02:54:08+00:00 | [] | [
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# Gemma 2B Translation v0.121
- Eval Loss: '0.3734'
- Train Loss: '0.3929'
- lr: '6e-05'
- optimizer: adamw
- lr_scheduler_type: cosine
## Prompt Template
## Model Description
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- Model type: Gemma
- Language(s) (NLP): English
- License: gemma-terms-of-use
- Finetuned from model: b... | [
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text-generation | transformers | # Llama-3-8B-Instruct-Chinese-chat
Llama-3-8B-Instruct in Chinese 自己微调版本
### 训练可用数据整理
| 数据集 | 介绍 ... | {} | Rookie/Llama-3-8B-Instruct-Chinese | null | [
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#transformers #safetensors #gguf #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Llama-3-8B-Instruct-Chinese-chat
================================
Llama-3-8B-Instruct in Chinese 自己微调版本
### 训练可用数据整理
### github地址
### 推荐微调工具
在此感谢以下项目,提供了许多优秀的中文微调工具,供大家参考:
* Firefly - URL
* LLaMA-Factory - URL
### Chat版模型下载
* Instruct + 继续中文sft版
* huggingface地址
### 模型量化加速、部署
### 模型使用
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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. -->
# gpt-neo-2.7B_LAMA_TREx_finetuning_MAGNET
This model is a fine-tuned version of [EleutherAI/gpt-neo-2.7B](https://huggingface.co/... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-2.7B", "model-index": [{"name": "gpt-neo-2.7B_LAMA_TREx_finetuning_MAGNET", "results": []}]} | KimByeongSu/gpt-neo-2.7B_LAMA_TREx_finetuning_MAGNET | null | [
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|
# gpt-neo-2.7B_LAMA_TREx_finetuning_MAGNET
This model is a fine-tuned version of EleutherAI/gpt-neo-2.7B on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
##... | [
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null | 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]
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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### Model Description
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feature-extraction | 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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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="stuvx/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attri... | {"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": ... | stuvx/q-FrozenLake-v1-4x4-noSlippery | null | [
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# Q-Learning Agent playing1 FrozenLake-v1
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="stuvx/Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
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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": []} | Tippawan/SNOMED-CT-weekend-retest-v1 | null | [
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null | transformers |
# Uploaded model
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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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": []} | Weblet/phi-1.5-turbo17137551364972343_mlabonne-guanaco-llama2-1k_train | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | lattavia/crew-chat-finetune-final-v2 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | domenicrosati/adversarial_loss_lr_1e-5_attack_meta-llama_Llama-2-7b-chat-hf_4_num_layers_6_6e-5_1k | null | [
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text-generation | transformers |
# Meta-Llama-3-8B-Instruct INT4 Quantized
- INT-4 quantized version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) created using OpenVINO
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretra... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "openvino", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct/blob/main/LICENSE", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct"} | rajatkrishna/Meta-Llama-3-8B-Instruct-OpenVINO-INT4 | null | [
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# Meta-Llama-3-8B-Instruct INT4 Quantized
- INT-4 quantized version of meta-llama/Meta-Llama-3-8B-Instruct created using OpenVINO
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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. -->
# 0.0_ablation_6iters_iter_4
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_6iters_iter_3](https://huggingface.co... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_6iters_dataset"], "base_model": "ZhangShenao/0.0_ablation_6iters_iter_3", "model-index": [{"name": "0.0_ablation_6iters_iter_4", "results": []}]} | ZhangShenao/0.0_ablation_6iters_iter_4 | null | [
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# 0.0_ablation_6iters_iter_4
This model is a fine-tuned version of ZhangShenao/0.0_ablation_6iters_iter_3 on the ZhangShenao/0.0_ablation_6iters_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information... | [
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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": []} | haes95/eCommerce-intent-classification | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# zephyr-7b-dpo-qlora
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "zephyr-7b-dpo-qlora", "results": []}]} | SF-Foundation/zephyr-7b-dpo-qlora | null | [
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| zephyr-7b-dpo-qlora
===================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4877
* Rewards/chosen: -2.1504
* Rewards/rejected: -3.2930
* Rewards/accuracies: 0.7485
* ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-06\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam wit... | [
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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_iter_3
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_4iters_bs256_iter_2](https://hu... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_4iters_bs256_iter_2", "model-index": [{"name": "0.001_ablation_4iters_bs256_iter_3", "results": []}]} | ShenaoZ/0.001_ablation_4iters_bs256_iter_3 | null | [
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"endpoints_c... | null | 2024-04-22T03:27:20+00:00 | [] | [] | TAGS
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|
# 0.001_ablation_4iters_bs256_iter_3
This model is a fine-tuned version of ShenaoZ/0.001_ablation_4iters_bs256_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information 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": []} | Weblet/gpt2-turbo17137563175470912_mlabonne-guanaco-llama2-1k_train | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
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- License... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# AnnualSummarizer
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## I... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "AnnualSummarizer", "results": []}]} | Kgr20/AnnualSummarizer | null | [
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|
# AnnualSummarizer
This model was trained from scratch 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 hyperpar... | [
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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": []} | kwonsm/gpt2-tldr-kto | null | [
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## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Uploaded model
- **Developed by:** ojasviyadav
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | ojasviyadav/lora_model_gemma_it | null | [
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# Uploaded model
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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": []} | Weblet/gpt2-medium-turbo1713756936088908_mlabonne-guanaco-llama2-1k_train | null | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
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The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | phoenixaiden33/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
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"TAGS\n#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nT... |
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"]} | APLunch/ppo-SnowballTarget | null | [
"ml-agents",
"tensorboard",
"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SnowballTarget",
"region:us"
] | null | 2024-04-22T03:43:24+00:00 | [] | [] | TAGS
#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... | [
"# ppo Agent playing SnowballTarget\n This is a trained model of a ppo agent playing SnowballTarget\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 *... | [
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"# ppo Agent playing SnowballTarget\n This is a trained model of a ppo agent playing SnowballTarget\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agen... | [
39,
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"TAGS\n#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us \n# ppo Agent playing SnowballTarget\n This is a trained model of a ppo agent playing SnowballTarget\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n ... |
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": []} | SkwarczynskiP/roberta-base-finetuned-vedantgaur-AI-and-human-generated | null | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-22T03:46:07+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #roberta #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #has_space #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hu... | [
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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. -->
# COLX_563_lab4_slot_hotel_area
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the N... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "COLX_563_lab4_slot_hotel_area", "results": []}]} | RyanZZZZZ/COLX_563_lab4_slot_hotel_area | null | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-22T03:47:22+00:00 | [] | [] | TAGS
#transformers #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
# COLX_563_lab4_slot_hotel_area
This model is a fine-tuned version of roberta-base on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0951
- F1 Score: 0.9600
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and ... | [
"# COLX_563_lab4_slot_hotel_area\n\nThis model is a fine-tuned version of roberta-base on the None dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.0951\n- F1 Score: 0.9600",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information neede... | [
"TAGS\n#transformers #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
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