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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. -->
# DPO-PairRM-5-SMI-lr-1e6-iteration-5-t-7e-beta-15e3-1-iteration-baseline-D1-2e-D2_smi-1
This model is a fine-tuned version of [mi... | {"license": "apache-2.0", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "DPO-PairRM-5-SMI-lr-1e6-iteration-5-t-7e-beta-15e3-1-iteration-baseline-D1-2e-D2_smi-1", "results": []}]} | vangard703/DPO-PairRM-5-SMI-lr-1e6-iteration-5-t-7e-beta-15e3-1-iteration-baseline-D1-2e-D2_smi-1 | null | [
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|
# DPO-PairRM-5-SMI-lr-1e6-iteration-5-t-7e-beta-15e3-1-iteration-baseline-D1-2e-D2_smi-1
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7394
- Rewards/chosen: -2.1682
- Rewards/rejected: -2.3518
- Rewar... | [
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text-to-image | diffusers |
# SoteDiffusion Wuerstchen3
Anime finetune of Würstchen V3.
Currently is in early state in training.
No commercial use thanks to StabilityAI.
# Release Notes
Did major cleanup on the dataset in this release.
Changed the training parameters and started from a fresh state.
Switch to FairAI license. (Still ... | {"license": "other", "pipeline_tag": "text-to-image", "license_name": "faipl-1.0-sd", "license_link": "LICENSE", "decoder": ["Disty0/sotediffusion-wuerstchen3-alpha1-decoder"]} | Disty0/sotediffusion-wuerstchen3-alpha1 | null | [
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#diffusers #safetensors #text-to-image #license-other #diffusers-StableCascadePriorPipeline #region-us
| SoteDiffusion Wuerstchen3
=========================
Anime finetune of Würstchen V3.
Currently is in early state in training.
No commercial use thanks to StabilityAI.
Release Notes
=============
Did major cleanup on the dataset in this release.
Changed the training parameters and started from a fresh stat... | [
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text-generation | mlx |
# mlx-community/Meta-Llama-3-8B-Instruct-64k-4bit
This model was converted to MLX format from [`NurtureAI/Meta-Llama-3-8B-Instruct-64k`]() using mlx-lm version **0.11.0**.
Refer to the [original model card](https://huggingface.co/NurtureAI/Meta-Llama-3-8B-Instruct-64k) for more details on the model.
## Use with mlx
`... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "mlx"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"A... | mlx-community/Meta-Llama-3-8B-Instruct-64k-4bit | null | [
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#mlx #safetensors #llama #facebook #meta #pytorch #llama-3 #text-generation #conversational #en #license-other #region-us
|
# mlx-community/Meta-Llama-3-8B-Instruct-64k-4bit
This model was converted to MLX format from ['NurtureAI/Meta-Llama-3-8B-Instruct-64k']() using mlx-lm version 0.11.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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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"]} | FAYSSAL12/ppo-Huggy | null | [
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"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-25T18:00:15+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... | [
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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. -->
# Boya1_RMSProp_1-e5_20Epoch_swin-base-window7-224-in22k_fold4
This model is a fine-tuned version of [microsoft/swin-base-patch4-w... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-base-patch4-window7-224-in22k", "model-index": [{"name": "Boya1_RMSProp_1-e5_20Epoch_swin-base-window7-224-in22k_fold4", "results": [{"task": {"type": "image-classification",... | onizukal/Boya1_RMSProp_1-e5_20Epoch_swin-base-window7-224-in22k_fold4 | null | [
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| Boya1\_RMSProp\_1-e5\_20Epoch\_swin-base-window7-224-in22k\_fold4
=================================================================
This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224-in22k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4944
*... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio... | [
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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": []} | HenryCai1129/adapter-toxic2nontoxic-100-filtered-50-0.0003 | 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]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | null |
# nullt3r/Llama-3-8b-64k-PoSE-Q8_0-GGUF
This model was converted to GGUF format from [`winglian/Llama-3-8b-64k-PoSE`](https://huggingface.co/winglian/Llama-3-8b-64k-PoSE) 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](http... | {"language": ["en"], "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation"} | nullt3r/Llama-3-8b-64k-PoSE-Q8_0-GGUF | null | [
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#gguf #facebook #meta #pytorch #llama #llama-3 #llama-cpp #gguf-my-repo #text-generation #en #region-us
|
# nullt3r/Llama-3-8b-64k-PoSE-Q8_0-GGUF
This model was converted to GGUF format from 'winglian/Llama-3-8b-64k-PoSE' 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:... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Ailone_8B_Aowjing_Food
This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingface.co/HuggingFaceM4/id... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "HuggingFaceM4/idefics2-8b", "model-index": [{"name": "Ailone_8B_Aowjing_Food", "results": []}]} | AilinWhiteNight/Ailone_8B_Aowjing_Food | null | [
"safetensors",
"generated_from_trainer",
"base_model:HuggingFaceM4/idefics2-8b",
"license:apache-2.0",
"region:us"
] | null | 2024-04-25T18:05:02+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-HuggingFaceM4/idefics2-8b #license-apache-2.0 #region-us
| Ailone\_8B\_Aowjing\_Food
=========================
This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0492
Model description
-----------------
More information needed
Intended uses & limitations
-------------... | [
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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-7B", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"type": "... | ahforoughi/Reinforce-7B | null | [
"CartPole-v1",
"reinforce",
"reinforcement-learning",
"custom-implementation",
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"region:us"
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#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_opus_books_model
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "t5-small", "model-index": [{"name": "my_awesome_opus_books_model", "results": []}]} | dlwnsdnjs/my_awesome_opus_books_model | null | [
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"text2text-generation",
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| my\_awesome\_opus\_books\_model
===============================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6085
* Bleu: 5.6962
* Gen Len: 17.6033
Model description
-----------------
More information needed
Intended u... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2\n* mixed\\_prec... | [
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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"} | chakkakrishna/llamareqa | null | [
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| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
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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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text-generation | transformers |
# Uploaded model
- **Developed by:** 1024m
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | 1024m/MISTRAL7B-01-EXALT1A-16bit | null | [
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|
# Uploaded model
- Developed by: 1024m
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | null | https://civitai.com/models/417259/alisa-mikhailovna-kujou-ayra-san-or-my-deskmate-alya-sometimes-hides-her-feelings-in-russian-or-tokidoki-bosotto-roshia-go-de-dereru-tonari-no-arya-san | {"license": "creativeml-openrail-m"} | LarryAIDraw/Arya-06 | null | [
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text-generation | null |
# Mistral 7B Instruct v0.2 - GGUF
- Model creator: [Mistral AI_](https://huggingface.co/mistralai)
- Original model: [Mistral 7B Instruct v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
<!-- description start -->
## Description
This repo contains GGUF format model files for [Mistral AI_'s Mistral 7B... | {"license": "apache-2.0", "tags": ["finetuned"], "model_name": "Mistral 7B Instruct v0.2", "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "inference": false, "model_creator": "Mistral AI_", "model_type": "mistral", "pipeline_tag": "text-generation", "prompt_template": "<s>[INST] {prompt} [/INST]\n", "quantized_by"... | VesperAI/Mistral-7B-Instruct-v0.2-gguf | null | [
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#gguf #finetuned #text-generation #arxiv-2310.06825 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
| Mistral 7B Instruct v0.2 - GGUF
===============================
* Model creator: Mistral AI\_
* Original model: Mistral 7B Instruct v0.2
Description
-----------
This repo contains GGUF format model files for Mistral AI\_'s Mistral 7B Instruct v0.2.
### About GGUF
GGUF is a new format introduced by the URL tea... | [
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text-generation | transformers |
# KangalKhan-Alpha-Sapphiroid-7B-Fixed
KangalKhan-Alpha-Sapphiroid-7B-Fixed is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [kaist-ai/mistral-orpo-capybara-7k](https://huggingface.co/kaist-ai/mistral-orpo-capybara-7k)
* ... | {"language": ["en"], "license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "kaist-ai/mistral-orpo-capybara-7k", "argilla/CapybaraHermes-2.5-Mistral-7B"], "base_model": ["kaist-ai/mistral-orpo-capybara-7k", "argilla/CapybaraHermes-2.5-Mistral-7B"]} | Yuma42/KangalKhan-Alpha-Sapphiroid-7B-Fixed | null | [
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"base_model:argilla/CapybaraHermes-2.5-Mistr... | null | 2024-04-25T18:10:06+00:00 | [] | [
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# KangalKhan-Alpha-Sapphiroid-7B-Fixed
KangalKhan-Alpha-Sapphiroid-7B-Fixed is a merge of the following models using LazyMergekit:
* kaist-ai/mistral-orpo-capybara-7k
* argilla/CapybaraHermes-2.5-Mistral-7B
## Configuration
## Usage
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null | null | https://civitai.com/models/418957/lawine-sousou-no-frieren | {"license": "creativeml-openrail-m"} | LarryAIDraw/Lawine_snf_ | null | [
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text-generation | transformers |
# Model Card for alokabhishek/Meta-Llama-3-8B-Instruct-GGUF
<!-- Provide a quick summary of what the model is/does. -->
This repo GGUF quantized version of Meta's meta-llama/Meta-Llama-3-8B-Instruct model using llama.cpp.
## Model Details
- Model creator: [Meta](https://huggingface.co/meta-llama)
- Original model:... | {"license": "other", "library_name": "transformers", "tags": ["GGUF", "llama-3", "llama", "Q4_K_M", "Q5_K_M", "meta", "facebook", "quantized", "8b"], "license_name": "llama3", "license_link": "LICENSE", "pipeline_tag": "text-generation"} | alokabhishek/Meta-Llama-3-8B-Instruct-GGUF | null | [
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| Model Card for alokabhishek/Meta-Llama-3-8B-Instruct-GGUF
=========================================================
This repo GGUF quantized version of Meta's meta-llama/Meta-Llama-3-8B-Instruct model using URL.
Model Details
-------------
* Model creator: Meta
* Original model: Meta-Llama-3-8B-Instruct
### Abo... | [
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null | null | https://civitai.com/models/150021/aqua-konosuba-lora | {"license": "creativeml-openrail-m"} | LarryAIDraw/aqua-10 | null | [
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null | null | https://civitai.com/models/150383/megumin-konosuba-lora | {"license": "creativeml-openrail-m"} | LarryAIDraw/megumin-10 | null | [
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null | null | https://civitai.com/models/132043/aqua-konosuba-anime-character | {"license": "creativeml-openrail-m"} | LarryAIDraw/Aqua_Konosuba | null | [
"license:creativeml-openrail-m",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# saiga_task_double_lora350
This model is a fine-tuned version of [TheBloke/Llama-2-7B-fp16](https://huggingface.co/TheBloke/Llama... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Llama-2-7B-fp16", "model-index": [{"name": "saiga_task_double_lora350", "results": []}]} | marcus2000/saiga_task_double_lora350 | null | [
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#peft #safetensors #generated_from_trainer #base_model-TheBloke/Llama-2-7B-fp16 #region-us
| saiga\_task\_double\_lora350
============================
This model is a fine-tuned version of TheBloke/Llama-2-7B-fp16 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.6634
Model description
-----------------
More information needed
Intended uses & limitations
------... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** 1024m
- **License:** apache-2.0
- **Task** WASSA Shared Task 1A 2024**
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.gi... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | 1024m/MISTRAL7B-01-EXALT1A-4bit | null | [
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|
# Uploaded model
- Developed by: 1024m
- License: apache-2.0
- Task WASSA Shared Task 1A 2024
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
prompt format :
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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... | Ishan009/LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-25T18:15:38+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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] |
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": "tiiuae/falcon-7b"} | ClaudiaIoana550/nou_try7 | null | [
"peft",
"arxiv:1910.09700",
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"region:us"
] | null | 2024-04-25T18:15:52+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #arxiv-1910.09700 #base_model-tiiuae/falcon-7b #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
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#... | [
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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"]} | PablitoGil14/ModelCalzados | null | [
"fastai",
"has_space",
"region:us"
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#fastai #has_space #region-us
|
# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the documentation here)!
2. Create a demo in Gradio or Streamlit using Spaces (documentation here).
3. Join the fastai community on the ... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "NousResearch/Meta-Llama-3-70B", "model-index": [{"name": "2-qlora-out-l3-10", "results": []}]} | wave-on-discord/llama-3-70b-llc-3 | null | [
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"llama",
"generated_from_trainer",
"base_model:NousResearch/Meta-Llama-3-70B",
"license:other",
"4-bit",
"region:us"
] | null | 2024-04-25T18:17:39+00:00 | [] | [] | TAGS
#peft #llama #generated_from_trainer #base_model-NousResearch/Meta-Llama-3-70B #license-other #4-bit #region-us
|
<img src="URL alt="Built with Axolotl" width="200" height="32"/>
<details><summary>See axolotl config</summary>
axolotl version: '0.4.0'
</details><br>
# 2-qlora-out-l3-10
This model is a fine-tuned version of NousResearch/Meta-Llama-3-70B on the None dataset.
## Model description
More information needed
## ... | [
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null | null |
4-bit [OmniQuant](https://arxiv.org/abs/2308.13137) quantized version of [Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) with an unquantized embedding layer.
| {"license": "mit"} | numen-tech/Phi-3-mini-4k-instruct-w4a16g128asym_1 | null | [
"arxiv:2308.13137",
"license:mit",
"region:us"
] | null | 2024-04-25T18:20:22+00:00 | [
"2308.13137"
] | [] | TAGS
#arxiv-2308.13137 #license-mit #region-us
|
4-bit OmniQuant quantized version of Phi-3-mini-4k-instruct with an unquantized embedding layer.
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sentence-similarity | sentence-transformers |
# nomic-embed-text-v1.5: Resizable Production Embeddings with Matryoshka Representation Learning
`nomic-embed-text-v1.5` is an improvement upon [Nomic Embed](https://huggingface.co/nomic-ai/nomic-embed-text-v1) that utilizes [Matryoshka Representation Learning](https://arxiv.org/abs/2205.13147) which gives develope... | {"license": "apache-2.0", "library_name": "sentence-transformers", "tags": ["feature-extraction", "sentence-similarity", "mteb", "transformers", "transformers.js"], "pipeline_tag": "sentence-similarity", "model-index": [{"name": "epoch_0_model", "results": [{"task": {"type": "Classification"}, "dataset": {"name": "MTEB... | lightbird-ai/nomic | null | [
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"arxiv:2205.13147",
"arxiv:2402.01613",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T18:20:33+00:00 | [
"2205.13147",
"2402.01613"
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| nomic-embed-text-v1.5: Resizable Production Embeddings with Matryoshka Representation Learning
==============================================================================================
'nomic-embed-text-v1.5' is an improvement upon Nomic Embed that utilizes Matryoshka Representation Learning which gives develope... | [
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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. -->
# codet5-fine-tuned
This model is a fine-tuned version of [Salesforce/codet5p-220m](https://huggingface.co/Salesforce/codet5p-220m... | {"license": "bsd-3-clause", "tags": ["generated_from_trainer"], "base_model": "Salesforce/codet5p-220m", "model-index": [{"name": "codet5-fine-tuned", "results": []}]} | cincin2399/codet5-fine-tuned | null | [
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"text2text-generation",
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"license:bsd-3-clause",
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"region:us"
] | null | 2024-04-25T18:21:01+00:00 | [] | [] | TAGS
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| codet5-fine-tuned
=================
This model is a fine-tuned version of Salesforce/codet5p-220m on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1944
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
M... | [
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text-generation | transformers | # AgentPublic/guillaumetell-7b AWQ
- Model creator: [AgentPublic](https://huggingface.co/AgentPublic)
- Original model: [guillaumetell-7b](https://huggingface.co/AgentPublic/guillaumetell-7b)
## Model Summary
**Guillaume Tell** est un Large Language Model (LLM) français basé sur Mistral Open-Hermes 2.5 optimisé pour... | {"language": ["fr"], "license": "apache-2.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/guillaumetell-7b-AWQ | null | [
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#transformers #safetensors #mistral #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #conversational #fr #license-apache-2.0 #text-generation-inference #region-us
| # AgentPublic/guillaumetell-7b AWQ
- Model creator: AgentPublic
- Original model: guillaumetell-7b
## Model Summary
Guillaume Tell est un Large Language Model (LLM) français basé sur Mistral Open-Hermes 2.5 optimisé pour le RAG (Retrieval Augmented Generation) avec traçabilité des sources et explicabilité.
## How t... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** ppopiolek
- **License:** apache-2.0
- **Finetuned from model :** TinyLlama/TinyLlama-1.1B-Chat-v1.0
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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | ppopiolek/tinyllama_eng_short | null | [
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|
# Uploaded model
- Developed by: ppopiolek
- License: apache-2.0
- Finetuned from model : TinyLlama/TinyLlama-1.1B-Chat-v1.0
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-to-image | diffusers |
# LoRA text2image fine-tuning - animanatwork/illustrations-lora
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the animanatwork/text_to_image_dataset dataset.
Below, we can find some images from the dataset:
<div style="display: flex; justify-content: space-betwe... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora"], "base_model": "runwayml/... | animanatwork/illustrations-lora | null | [
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|
# LoRA text2image fine-tuning - animanatwork/illustrations-lora
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the animanatwork/text_to_image_dataset dataset.
Below, we can find some images from the dataset:
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | nafizshahriar/NF-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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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. -->
# robust_llm_pythia-1b_mz-130_PasswordMatch_n-its-10-seed-2
This model is a fine-tuned version of [EleutherAI/pythia-1b](https://h... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-1b", "model-index": [{"name": "robust_llm_pythia-1b_mz-130_PasswordMatch_n-its-10-seed-2", "results": []}]} | AlignmentResearch/robust_llm_pythia-1b_mz-130_PasswordMatch_n-its-10-seed-2 | null | [
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|
# robust_llm_pythia-1b_mz-130_PasswordMatch_n-its-10-seed-2
This model is a fine-tuned version of EleutherAI/pythia-1b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training... | [
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null | 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. -->
# esm2_t12_35M-lora-binding-sites_2024-04-25_14-35-31
This model is a fine-tuned version of [facebook/esm2_t12_35M_UR50D](https://... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/esm2_t12_35M_UR50D", "model-index": [{"name": "esm2_t12_35M-lora-binding-sites_2024-04-25_14-35-31", "results": []}]} | wcvz/esm2_t12_35M-lora-binding-sites_2024-04-25_14-35-31 | null | [
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-facebook/esm2_t12_35M_UR50D #license-mit #region-us
| esm2\_t12\_35M-lora-binding-sites\_2024-04-25\_14-35-31
=======================================================
This model is a fine-tuned version of facebook/esm2\_t12\_35M\_UR50D on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3589
* Accuracy: 0.8457
Model description
---... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ciaranmacseoin/research_paper_extractor | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | ## How to Get Started with the Model
To use this model, you can either interact with it programmatically using the Python code below or through a web-based interface provided by Gradio.
### Using Python Code
```python
from transformers import TFAutoModelForImageClassification, AutoTokenizer
import gradio as gr
# La... | {} | kiki7555/pokemon_classifier_tf.keras | null | [
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#region-us
| ## How to Get Started with the Model
To use this model, you can either interact with it programmatically using the Python code below or through a web-based interface provided by Gradio.
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from transformers import TFAutoModelForImageClassification, AutoTokenizer
import gradio as gr
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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. -->
# my_awesome_seq_clf_model
This model is a fine-tuned version of [kssteven/ibert-roberta-base](https://huggingface.co/kssteven/ibe... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "kssteven/ibert-roberta-base", "model-index": [{"name": "my_awesome_seq_clf_model", "results": []}]} | tristayqc/my_awesome_seq_clf_model | null | [
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| my\_awesome\_seq\_clf\_model
============================
This model is a fine-tuned version of kssteven/ibert-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1998
* Accuracy: 0.9526
Model description
-----------------
More information needed
Intended use... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/SparseLLM/ReluLLaMA-70B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/ReluLLaMA-70B-i1-... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "base_model": "SparseLLM/ReluLLaMA-70B", "quantized_by": "mradermacher"} | mradermacher/ReluLLaMA-70B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
gemma-2b - bnb 4bits
- Model creator: https://huggingface.co/alpindale/
- Original model: https://huggingface.co/alpindale/g... | {} | RichardErkhov/alpindale_-_gemma-2b-4bits | null | [
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Github
Discord
Request more models
gemma-2b - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
library\_name: transformers
tags: []
extra\_gated\_heading: "Access Gemma on Hugging Face"
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
pygmalion-instruct - bnb 4bits
- Model creator: https://huggingface.co/alpindale/
- Original model: https://huggingface.co/a... | {} | RichardErkhov/alpindale_-_pygmalion-instruct-4bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
pygmalion-instruct - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: mit
---
## Model Details
Experimental model. Trained with the Pygmalion and the WizardLM datasets.
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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": ["unsloth"]} | NiCoSav/lora_model | null | [
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null | transformers |
# Uploaded model
- **Developed by:** jurieyel
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | jurieyel/text2sql-finetuned-llama3-8b-bnb-4bit_6k | null | [
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|
# Uploaded model
- Developed by: jurieyel
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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. -->
# robust_llm_pythia-1b_mz-130_PasswordMatch_n-its-10-seed-1
This model is a fine-tuned version of [EleutherAI/pythia-1b](https://h... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-1b", "model-index": [{"name": "robust_llm_pythia-1b_mz-130_PasswordMatch_n-its-10-seed-1", "results": []}]} | AlignmentResearch/robust_llm_pythia-1b_mz-130_PasswordMatch_n-its-10-seed-1 | null | [
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] | null | 2024-04-25T18:45:54+00:00 | [] | [] | TAGS
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|
# robust_llm_pythia-1b_mz-130_PasswordMatch_n-its-10-seed-1
This model is a fine-tuned version of EleutherAI/pythia-1b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small urdu 3 - huzaifa
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whispe... | {"language": ["ur"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small urdu 3 - huzaifa", "results": []}]} | huzaifa1117/whisper-small-urdu-3 | null | [
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|
# Whisper Small urdu 3 - huzaifa
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 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 |
<!-- 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. -->
# esm2_t12_35M-lora-binding-sites_2024-04-25_14-47-08
This model is a fine-tuned version of [facebook/esm2_t12_35M_UR50D](https://... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/esm2_t12_35M_UR50D", "model-index": [{"name": "esm2_t12_35M-lora-binding-sites_2024-04-25_14-47-08", "results": []}]} | wcvz/esm2_t12_35M-lora-binding-sites_2024-04-25_14-47-08 | null | [
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] | null | 2024-04-25T18:47:08+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-facebook/esm2_t12_35M_UR50D #license-mit #region-us
| esm2\_t12\_35M-lora-binding-sites\_2024-04-25\_14-47-08
=======================================================
This model is a fine-tuned version of facebook/esm2\_t12\_35M\_UR50D on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4214
* Accuracy: 0.8574
Model description
---... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005701568055793089\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 8893\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: cosine\n* num\\_epochs:... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_opus_books_model
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "t5-small", "model-index": [{"name": "my_awesome_opus_books_model", "results": []}]} | kellyjiayixu/my_awesome_opus_books_model | null | [
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] | null | 2024-04-25T18:48:21+00:00 | [] | [] | TAGS
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| my\_awesome\_opus\_books\_model
===============================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.9501
* Bleu: 0.3341
* Gen Len: 18.1659
Model description
-----------------
More information needed
Intended u... | [
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text-generation | transformers |
# KangalKhan-Alpha-Rubyroid-7B-Fixed
KangalKhan-Alpha-Rubyroid-7B-Fixed is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Yuma42/KangalKhan-Alpha-Sapphiroid-7B-Fixed](https://huggingface.co/Yuma42/KangalKhan-Alpha-Sapphir... | {"language": ["en"], "license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "Yuma42/KangalKhan-Alpha-Sapphiroid-7B-Fixed", "argilla/distilabeled-OpenHermes-2.5-Mistral-7B"], "base_model": ["Yuma42/KangalKhan-Alpha-Sapphiroid-7B-Fixed", "argilla/distilabeled-OpenHermes-2.5-Mistral-7B"]} | Yuma42/KangalKhan-Alpha-Rubyroid-7B-Fixed | null | [
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# KangalKhan-Alpha-Rubyroid-7B-Fixed
KangalKhan-Alpha-Rubyroid-7B-Fixed is a merge of the following models using LazyMergekit:
* Yuma42/KangalKhan-Alpha-Sapphiroid-7B-Fixed
* argilla/distilabeled-OpenHermes-2.5-Mistral-7B
## Configuration
## Usage
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text-generation | transformers | # MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.3 AWQ
- Model creator: [MaziyarPanahi](https://huggingface.co/MaziyarPanahi)
- Original model: [Llama-3-8B-Instruct-DPO-v0.3](https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.3)
<img src="./llama-3-merges.webp" alt="Llama-3 DPO Logo" width="500" style="margin-... | {"license": "llama3", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "axolotl", "finetune", "dpo", "facebook", "meta", "pytorch", "llama", "llama-3"], "datasets": ["Intel/orca_dpo_pairs"], "model_name": "Llama-3-8B-Instruct-DPO-v0.3", "base_mo... | solidrust/Llama-3-8B-Instruct-DPO-v0.3-AWQ | null | [
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"base_model:meta-llama/Meta-Llama-3-8... | null | 2024-04-25T18:48:39+00:00 | [] | [] | TAGS
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| # MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.3 AWQ
- Model creator: MaziyarPanahi
- Original model: Llama-3-8B-Instruct-DPO-v0.3
<img src="./URL" alt="Llama-3 DPO Logo" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
## Model Summary
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text-generation | transformers |
# Uploaded model
- **Developed by:** sireskay
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | sireskay/llama3-8b-oig-unsloth-merged | null | [
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|
# Uploaded model
- Developed by: sireskay
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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": []} | HenryCai1129/adapter-toxic2nontoxic-100-filtered-50-0.0006 | 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]:
- Shared by [optional]:
- Model type:
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- License... | [
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text-generation | transformers |
<img src="./llama-3-merges.webp" alt="Llama-3 DPO Logo" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# MaziyarPanahi/Llama-3-8B-Instruct-64k
This model has been made based on a great of [@winglian](https://huggingface.co/winglian/) with his latest model [winglian/Llama-3-8b-64k-PoSE]... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["axolotl", "finetune", "dpo", "facebook", "meta", "pytorch", "llama", "llama-3", "64k", "pose"], "datasets": ["Intel/orca_dpo_pairs"], "model_name": "Llama-3-8B-Instruct-64k", "base_model": "winglian/Llama-3-8b-64k-PoSE", "pipeline_tag":... | MaziyarPanahi/Llama-3-8B-Instruct-64k | null | [
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"license:llama3... | null | 2024-04-25T18:49:31+00:00 | [
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|
<img src="./URL" alt="Llama-3 DPO Logo" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# MaziyarPanahi/Llama-3-8B-Instruct-64k
This model has been made based on a great of @winglian with his latest model winglian/Llama-3-8b-64k-PoSE
> This model uses PoSE to extend Llama's context len... | [
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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. -->
# bertje-dutch-cola
This model is a fine-tuned version of [GroNLP/bert-base-dutch-cased](https://huggingface.co/GroNLP/bert-base-d... | {"language": ["nl"], "tags": ["generated_from_trainer"], "datasets": ["GroNLP/dutch-cola"], "metrics": ["accuracy"], "base_model": "GroNLP/bert-base-dutch-cased", "widget": [{"text": "Jan wandelt zijn schoenen."}, {"text": "Oud genoeg voor de disco is Marie nog niet."}], "model-index": [{"name": "bertje-dutch-cola", "r... | bylin/bertje-dutch-cola | null | [
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| bertje-dutch-cola
=================
This model is a fine-tuned version of GroNLP/bert-base-dutch-cased on Dutch CoLA.
It achieves the following results on the evaluation set:
* Loss: 0.7208
* Accuracy: 0.7792
Model description
-----------------
More information needed
Intended uses & limitations
-------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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sentence-similarity | sentence-transformers |
# SentenceTransformer based on google-bert/bert-base-uncased
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the [sentence-transformers/stsb](https://huggingface.co/datasets/sentence-transformers/sts... | {"language": ["en"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "sentence-similarity", "feature-extraction", "loss:CosineSimilarityLoss"], "metrics": ["pearson_cosine", "spearman_cosine", "pearson_manhattan", "spearman_manhattan", "pearson_euclidean", "spearman_euclidean", "pearson_dot",... | tomaarsen/bert-base-uncased-augmentation-indomain-nlpaug-sts | null | [
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| SentenceTransformer based on google-bert/bert-base-uncased
==========================================================
This is a sentence-transformers model finetuned from google-bert/bert-base-uncased on the sentence-transformers/stsb dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and... | [
"### Model Description\n\n\n* Model Type: Sentence Transformer\n* Base model: google-bert/bert-base-uncased\n* Maximum Sequence Length: 512 tokens\n* Output Dimensionality: 768 tokens\n* Similarity Function: Cosine Similarity\n* Training Dataset:\n\t+ sentence-transformers/stsb\n* Language: en",
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null | transformers |
# Uploaded model
- **Developed by:** sireskay
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | sireskay/llama3-8b-oig-unsloth | null | [
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|
# Uploaded model
- Developed by: sireskay
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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reinforcement-learning | null |
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
```python
{'exp_name': 'ppo'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'Lunar... | {"tags": ["LunarLander-v2", "ppo", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation", "deep-rl-course"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarLander-v2... | tarpalsus/LunarLander-v2 | null | [
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"ppo",
"deep-reinforcement-learning",
"reinforcement-learning",
"custom-implementation",
"deep-rl-course",
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] | null | 2024-04-25T18:53:08+00:00 | [] | [] | TAGS
#tensorboard #LunarLander-v2 #ppo #deep-reinforcement-learning #reinforcement-learning #custom-implementation #deep-rl-course #model-index #region-us
|
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
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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": []} | 21bce239/model_dl_45 | null | [
"transformers",
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"1910.09700"
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#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-finetuned-en-to-es-eval1
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown datase... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "t5-base", "model-index": [{"name": "t5-finetuned-en-to-es-eval1", "results": []}]} | tsetsuuhei/t5-finetuned-en-to-es-eval1 | null | [
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|
# t5-finetuned-en-to-es-eval1
This model is a fine-tuned version of t5-base 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
T... | [
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text-generation | null |
# nullt3r/Meta-Llama-3-8B-Instruct-64k-PoSE-Q8_0-GGUF
This model uses PoSE to extend Llama's context length from 8k to 64k (https://huggingface.co/winglian/Llama-3-8b-64k-PoSE). It performs exceptionally well when used with LM Studio and the standard LLaMA 3 profile. However, there is a notable issue with ollama—it co... | {"language": ["en"], "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation"} | nullt3r/Meta-Llama-3-8B-Instruct-64k-PoSE-Q8_0-GGUF | null | [
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| nullt3r/Meta-Llama-3-8B-Instruct-64k-PoSE-Q8\_0-GGUF
====================================================
This model uses PoSE to extend Llama's context length from 8k to 64k (URL It performs exceptionally well when used with LM Studio and the standard LLaMA 3 profile. However, there is a notable issue with ollama—it... | [
"### Use with transformers\n\n\nYou can run conversational inference using the Transformers pipeline abstraction, or by leveraging the Auto classes with the 'generate()' function. Let's see examples of both.",
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
gemma-2b - bnb 8bits
- Model creator: https://huggingface.co/alpindale/
- Original model: https://huggingface.co/alpindale/g... | {} | RichardErkhov/alpindale_-_gemma-2b-8bits | null | [
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Github
Discord
Request more models
gemma-2b - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
library\_name: transformers
tags: []
extra\_gated\_heading: "Access Gemma on Hugging Face"
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text-generation | transformers |
# Uploaded model
- **Developed by:** Kaizu07
- **License:** apache-2.0
- **Finetuned from model :** BanglaLLM/bangla-llama-7b-instruct-v0.1
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/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "BanglaLLM/bangla-llama-7b-instruct-v0.1"} | Kaizu07/llama2-bn-v0.2-16bit | null | [
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|
# Uploaded model
- Developed by: Kaizu07
- License: apache-2.0
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This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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": []} | shallow6414/988fuap | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null |
# NeuralsynthesisExperiment27pastiche-7B
NeuralsynthesisExperiment27pastiche-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: Kukedlc/NeuralSynthesis-7B-v0.1
... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/NeuralsynthesisExperiment27pastiche-7B | null | [
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#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# NeuralsynthesisExperiment27pastiche-7B
NeuralsynthesisExperiment27pastiche-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | chriztopherton/autotrain-raft-255P3 | null | [
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#transformers #tensorboard #safetensors #autotrain #text-generation-inference #text-generation #peft #conversational #license-other #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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] |
text-generation | transformers |
# Uploaded model
- **Developed by:** dbands
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | dbands/llama-3-8b-sql-instruct_16bit | null | [
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|
# Uploaded model
- Developed by: dbands
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/ImagineIt/StoryTeller-70b
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/StoryTeller-70b... | {"language": ["en"], "library_name": "transformers", "base_model": "ImagineIt/StoryTeller-70b", "quantized_by": "mradermacher"} | mradermacher/StoryTeller-70b-i1-GGUF | null | [
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#transformers #gguf #en #base_model-ImagineIt/StoryTeller-70b #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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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": []} | yxs33220/new_model_april_25 | 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 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Llama-2-7b-chat-hf_fictional_arc_easy_english_v2
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://h... | {"license": "llama2", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "Llama-2-7b-chat-hf_fictional_arc_easy_english_v2", "results": []}]} | yzhuang/Llama-2-7b-chat-hf_fictional_arc_easy_english_v2 | null | [
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|
# Llama-2-7b-chat-hf_fictional_arc_easy_english_v2
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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text-generation | transformers | Produced using https://github.com/neuralmagic/AutoFP8/blob/b0c1f789c51659bb023c06521ecbd04cea4a26f6/quantize.py
```bash
python quantize.py --model-id meta-llama/Meta-Llama-3-8B-Instruct --save-dir Meta-Llama-3-8B-Instruct-FP8
``` | {"tags": ["fp8"]} | nm-testing/Meta-Llama-3-8B-Instruct-FP8 | null | [
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text-generation | transformers | # MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.1 AWQ
- Model creator: [MaziyarPanahi](https://huggingface.co/MaziyarPanahi)
- Original model: [Llama-3-8B-Instruct-DPO-v0.1](https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.1)
<img src="./llama-3-merges.webp" alt="Llama-3 DPO Logo" width="500" style="margin-... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "axolotl", "finetune", "facebook", "meta", "pytorch", "llama", "llama-3"], "datasets": ["mlabonne/chatml-OpenHermes2.5-dpo-binarized-alpha"], "model_name":... | solidrust/Llama-3-8B-Instruct-DPO-v0.1-AWQ | null | [
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| # MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.1 AWQ
- Model creator: MaziyarPanahi
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<img src="./URL" alt="Llama-3 DPO Logo" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bart-base-finetuned-BBC
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-base", "model-index": [{"name": "bart-base-finetuned-BBC", "results": []}]} | saikancharlareddy/bart-base-finetuned-BBC | null | [
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| bart-base-finetuned-BBC
=======================
This model is a fine-tuned version of facebook/bart-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2173
* Rouge1: 0.169
* Rouge2: 0.1419
* Rougel: 0.1624
* Rougelsum: 0.1651
Model description
-----------------
More inf... | [
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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": []} | himanshubeniwal/mbart-large-50-finetuned-kk-to-en-dumb-European | 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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object-detection | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "apache-2.0", "tags": ["object-detection", "vision", "generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "facebook-detr-resnet-50-finetuned-10k-cppe5-manual-pad-repro", "results": []}]} | qubvel-hf/facebook-detr-resnet-50-finetuned-10k-cppe5-manual-pad-repro | null | [
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| <img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
facebook-detr-resnet-50-finetuned-10k-cppe5-manual-pad-repro
============================================================
This model is a fine-tuned version of facebook/detr-resnet-50 on the cppe-5 dataset.
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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:
* [winninghealth/WiNGPT2-Llama-3-8B-Base](http... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["winninghealth/WiNGPT2-Llama-3-8B-Base", "johnsnowlabs/JSL-MedLlama-3-8B-v1.0"]} | arcee-ai/Llama-3-Medical-JSL-WiNGPT2-SLERP | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* winninghealth/WiNGPT2-Llama-3-8B-Base
* johnsnowlabs/JSL-MedLlama-3-8B-v1.0
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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"]} | PablitoGil14/ModelFuturama | null | [
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# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
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text-generation | transformers |
# Uploaded model
- **Developed by:** dbands
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | dbands/llama-3-8b-sql-instruct_4bit | null | [
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|
# Uploaded model
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- License: apache-2.0
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_eli5_clm-model
This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distil... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "distilbert/distilgpt2", "model-index": [{"name": "my_awesome_eli5_clm-model", "results": []}]} | JasssZ/my_awesome_eli5_clm-model | null | [
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| my\_awesome\_eli5\_clm-model
============================
This model is a fine-tuned version of distilbert/distilgpt2 on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 3.7956
Model description
-----------------
More information needed
Intended uses & limitations
-... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
pygmalion-instruct - bnb 8bits
- Model creator: https://huggingface.co/alpindale/
- Original model: https://huggingface.co/a... | {} | RichardErkhov/alpindale_-_pygmalion-instruct-8bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
pygmalion-instruct - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: mit
---
## Model Details
Experimental model. Trained with the Pygmalion and the WizardLM datasets.
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-7b-hf"} | cgihlstorf/NEW_finetuned_llama27b32_1_0.0003_alternate_RANDOM_75_pct | null | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Ailone_8B_Aowjing_Travel
This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingface.co/HuggingFaceM4/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "HuggingFaceM4/idefics2-8b", "model-index": [{"name": "Ailone_8B_Aowjing_Travel", "results": []}]} | SuperkingbasSKB/Ailone_8B_Aowjing_Travel | null | [
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| Ailone\_8B\_Aowjing\_Travel
===========================
This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0523
Model description
-----------------
More information needed
Intended uses & limitations
---------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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null | transformers |
# Uploaded model
- **Developed by:** dbands
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | dbands/llama-3-8b-sql-instruct_lora | null | [
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|
# Uploaded model
- Developed by: dbands
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers | # [MaziyarPanahi/Llama-3-8B-Instruct-64k-GGUF](https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-64k-GGUF)
- Model creator: [MaziyarPanahi](https://huggingface.co/MaziyarPanahi)
- Original model: [MaziyarPanahi/Llama-3-8B-Instruct-64k](https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-64k)
## Description... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "text-generation", "llama", "llama-3", "text-generation"], "model_name": "Llama-3-8B-Instruct-64k-GGUF", "base_model": "MaziyarPanahi/Llama-3-8B-Instruct-64k", "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text... | MaziyarPanahi/Llama-3-8B-Instruct-64k-GGUF | null | [
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| # MaziyarPanahi/Llama-3-8B-Instruct-64k-GGUF
- Model creator: MaziyarPanahi
- Original model: MaziyarPanahi/Llama-3-8B-Instruct-64k
## Description
MaziyarPanahi/Llama-3-8B-Instruct-64k-GGUF contains GGUF format model files for MaziyarPanahi/Llama-3-8B-Instruct-64k.
### About GGUF
GGUF is a new format introduced by t... | [
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"## Description\nMaziyarPanahi/Llama-3-8B-Instruct-64k-GGUF contains GGUF format model files for MaziyarPanahi/Llama-3-8B-Instruct-64k.",
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tabular-classification | sklearn |
# Model description
This is a model trained to classify pieces of neuron as axon, dendrite, soma, or glia,
based only on their local shape and synapse features.The model is a linear discriminant
classifier which was trained on compartment labels generated by Bethanny Danskin for
3 6x6x6 um boxes in the Minnie65 Phase... | {"license": "mit", "library_name": "sklearn", "tags": ["sklearn", "skops", "tabular-classification"], "model_format": "skops", "model_file": "local_compartment_classifier_bd_boxes.skops", "widget": [{"structuredData": {"area_nm2": [693824.0, 4852608.0, 17088896.0], "area_nm2_neighbor_mean": [10181485.714285716, 9884429... | bdpedigo/local_compartment_classifier_bd_boxes | null | [
"sklearn",
"skops",
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"region:us"
] | null | 2024-04-25T19:22:51+00:00 | [] | [] | TAGS
#sklearn #skops #tabular-classification #license-mit #region-us
| Model description
=================
This is a model trained to classify pieces of neuron as axon, dendrite, soma, or glia,
based only on their local shape and synapse features.The model is a linear discriminant
classifier which was trained on compartment labels generated by Bethanny Danskin for
3 6x6x6 um boxes in th... | [
"### Hyperparameters\n\n\n\n Click to expand",
"### Model Plot",
"### Classification Report (overall)",
"### Classification Report (by class)\n\n\n\nHow to Get Started with the Model\n=================================\n\n\nModel Card Authors\n==================\n\n\nBen Pedigo\nBethanny Danskin"
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null | null | ## Exporting LoRas for use in other tools
Documentation on how to use Eden concepts in Automatic1111 or ComfyUI is here:
https://docs.eden.art/docs/guides/concepts/#exporting-loras-for-use-in-other-tools
ase-1.0"
---
## [soft-gentle-abstract](https://edenartlab-prod-data.s3.us-east-1.amazonaws.com/b86911eb44f17a35f1... | {} | eden-art/soft-gentle-abstract | null | [
"region:us"
] | null | 2024-04-25T19:22:56+00:00 | [] | [] | TAGS
#region-us
| ## Exporting LoRas for use in other tools
Documentation on how to use Eden concepts in Automatic1111 or ComfyUI is here:
URL
ase-1.0"
---
## soft-gentle-abstract
LoRA trained on URL by syntonikka on 8 images.
* How to train Concepts (LoRAs) on Eden
* How to export LoRAs from Eden
!Samples | [
"## Exporting LoRas for use in other tools\nDocumentation on how to use Eden concepts in Automatic1111 or ComfyUI is here:\nURL\n\n\nase-1.0\"\n---",
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null | transformers |
# Llama-3-openhermes-reft
**Llama-3-openhermes-reft** is a fine-tuned version of **[meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B)** on a 10K subset of **[teknium/Open... | {"license": "apache-2.0", "library_name": "transformers", "datasets": ["teknium/OpenHermes-2.5"]} | Syed-Hasan-8503/Llama-3-openhermes-reft | null | [
"transformers",
"dataset:teknium/OpenHermes-2.5",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T19:23:02+00:00 | [] | [] | TAGS
#transformers #dataset-teknium/OpenHermes-2.5 #license-apache-2.0 #endpoints_compatible #region-us
|
# Llama-3-openhermes-reft
!image/png
Llama-3-openhermes-reft is a fine-tuned version of meta-llama/Meta-Llama-3-8B on a 10K subset of teknium/OpenHermes-2.5
dataset using Representation Fine-Tuning (ReFT). The model has been trained for 1 epoch on 1x A100 using PyReFT library.
#### What is ReFT?
ReFT methods are dr... | [
"# Llama-3-openhermes-reft\n!image/png\n\nLlama-3-openhermes-reft is a fine-tuned version of meta-llama/Meta-Llama-3-8B on a 10K subset of teknium/OpenHermes-2.5\ndataset using Representation Fine-Tuning (ReFT). The model has been trained for 1 epoch on 1x A100 using PyReFT library.",
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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. -->
# Boya1_RMSProp_1-e5_20Epoch_swin-base-window7-224-in22k_fold5
This model is a fine-tuned version of [microsoft/swin-base-patch4-w... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-base-patch4-window7-224-in22k", "model-index": [{"name": "Boya1_RMSProp_1-e5_20Epoch_swin-base-window7-224-in22k_fold5", "results": [{"task": {"type": "image-classification",... | onizukal/Boya1_RMSProp_1-e5_20Epoch_swin-base-window7-224-in22k_fold5 | null | [
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| Boya1\_RMSProp\_1-e5\_20Epoch\_swin-base-window7-224-in22k\_fold5
=================================================================
This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224-in22k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4142
*... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio... | [
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text-generation | transformers |
OmniMistral-7b_v3_9999 | {"library_name": "transformers", "tags": []} | raxtemur/omniground | null | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - AdityaNath/Indian_Arch_LoRA
<Gallery />
## Model description
These are AdityaNath/Indian_Arch_... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a photo of Indian_Arch A... | AdityaNath/Indian_Arch_LoRA | null | [
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"text-to-image",
"diffusers-training",
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"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-25T19:24:36+00:00 | [] | [] | TAGS
#diffusers #tensorboard #text-to-image #diffusers-training #lora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - AdityaNath/Indian_Arch_LoRA
<Gallery />
## Model description
These are AdityaNath/Indian_Arch_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for trainin... | [
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text-generation | null |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | LoneStriker/Meta-Llama-3-8B-Instruct-64k-GGUF | null | [
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"en"
] | TAGS
#gguf #facebook #meta #pytorch #llama #llama-3 #text-generation #en #license-other #region-us
| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
gemma-2b - GGUF
- Model creator: https://huggingface.co/alpindale/
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Github
Discord
Request more models
gemma-2b - GGUF
* Model creator: URL
* Original model: URL
Name: gemma-2b.Q2\_K.gguf, Quant method: Q2\_K, Size: 1.08GB
Name: gemma-2b.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 1.16GB
Name: gemma-2b.IQ3\_S.gguf, Quant method: IQ3\_S, S... | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
pygmalion-instruct - GGUF
- Model creator: https://huggingface.co/alpindale/
- Original model: https://huggingface.co/alpind... | {} | RichardErkhov/alpindale_-_pygmalion-instruct-gguf | null | [
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"2304.12244"
] | [] | TAGS
#gguf #arxiv-2304.12244 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
pygmalion-instruct - GGUF
* Model creator: URL
* Original model: URL
Name: pygmalion-instruct.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.36GB
Name: pygmalion-instruct.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2.6GB
Name: pygmalion-instru... | [
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text-generation | transformers |
# KangalKhan-Alpha-RawRubyroid-7B-Fixed
KangalKhan-Alpha-RawRubyroid-7B-Fixed is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Yuma42/KangalKhan-Alpha-Rubyroid-7B-Fixed](https://huggingface.co/Yuma42/KangalKhan-Alpha-Rub... | {"language": ["en"], "license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "Yuma42/KangalKhan-Alpha-Rubyroid-7B-Fixed", "Yuma42/KangalKhan-RawEmerald-7B"], "base_model": ["Yuma42/KangalKhan-Alpha-Rubyroid-7B-Fixed", "Yuma42/KangalKhan-RawEmerald-7B"]} | Yuma42/KangalKhan-Alpha-RawRubyroid-7B-Fixed | null | [
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# KangalKhan-Alpha-RawRubyroid-7B-Fixed
KangalKhan-Alpha-RawRubyroid-7B-Fixed is a merge of the following models using LazyMergekit:
* Yuma42/KangalKhan-Alpha-Rubyroid-7B-Fixed
* Yuma42/KangalKhan-RawEmerald-7B
## Configuration
## Usage
| [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | Asubramanian19/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
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-tra... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** EdBerg
- **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/unslothai/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | EdBerg/llama3-unsloth-merged | null | [
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|
# Uploaded model
- Developed by: EdBerg
- 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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null | transformers |
# Uploaded model
- **Developed by:** dmorrigan
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | dmorrigan/HebrewLyricsLoRA | null | [
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"license:apache-2.0",
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|
# Uploaded model
- Developed by: dmorrigan
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | null | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Mod... | {"license": "apache-2.0", "datasets": ["teknium/OpenHermes-2.5"]} | sumeetsar/Llama3_Openhermes_2.5_32K_Q4_K_M | null | [
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| # Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
## Model Details
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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": []} | HenryCai1129/adapter-toxic2nontoxic-100-filtered-50-0.0009 | null | [
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# Model Card for Model ID
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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. -->
# mi-super-modelo
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown da... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "mi-super-modelo", "results": []}]} | dukebird/mi-super-modelo | null | [
"transformers",
"tensorboard",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:bert-base-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T19:34:53+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| mi-super-modelo
===============
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4438
* Accuracy: 0.375
Model description
-----------------
More information needed
Intended uses & limitations
-----------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
"### Training... | [
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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_train_seq_cls_run3
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral_train_seq_cls_run3", "results": []}]} | isaaclee/mistral_train_seq_cls_run3 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-25T19:35:46+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# mistral_train_seq_cls_run3
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyp... | [
"# mistral_train_seq_cls_run3\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training p... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us \n",
"# mistral_train_seq_cls_run3\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended us... | [
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"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us \n# mistral_train_seq_cls_run3\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.## Model description\n\nMore information needed## Intended uses & limitations\n... |
null | transformers |
# Uploaded model
- **Developed by:** EdBerg
- **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/unslothai/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | EdBerg/llama3-unsloth | null | [
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|
# Uploaded model
- Developed by: EdBerg
- 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"/>
| [
"# Uploaded model\n\n- Developed by: EdBerg\n- License: apache-2.0\n- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit\n\nThis llama model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #llama #trl #en #base_model-unsloth/llama-3-8b-Instruct-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n",
"# Uploaded model\n\n- Developed by: EdBerg\n- License: apache-2.0\n- Finetuned from model : unsloth/llama-3-8b-Instruct... | [
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