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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Yasusan/Llama2_0412_sft_ja | 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. -->
# rugpt3small_based_on_gpt2-test1
This model is a fine-tuned version of [sberbank-ai/rugpt3small_based_on_gpt2](https://huggingfac... | {"tags": ["generated_from_trainer"], "base_model": "sberbank-ai/rugpt3small_based_on_gpt2", "model-index": [{"name": "rugpt3small_based_on_gpt2-test1", "results": []}]} | tararonis/rugpt3small_based_on_gpt2-test1 | null | [
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|
# rugpt3small_based_on_gpt2-test1
This model is a fine-tuned version of sberbank-ai/rugpt3small_based_on_gpt2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Yasusan/Llama2_0412_sft_ja_en | null | [
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null | transformers |
# Uploaded model
- **Developed by:** shubham11
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-it-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-it-bnb-4bit"} | shubham11/gemma7bit_adapter_3k | null | [
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null | null |
This is the Q3_K_M quantum model for llama.cpp:
https://github.com/ggerganov/llama.cpp/pull/6515 | {"license": "other", "license_name": "databricks-open-model-license", "license_link": "https://www.databricks.com/legal/open-model-license"} | phymbert/dbrx-16x12b-instruct-q3_k_m-gguf | null | [
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text-generation | transformers | Base model: CorticalStack/gemma-7b-ultrachat-sft
This is finetuned from above base model and to be used for multi-turn chat based use-cases.
Unlike our AryaBhatta-GemmaOrca model which is skilled in science, literature and finetuned on Orca datasets, this model is fine-tuned on Ultra-Chat datasets. And show improved p... | {"license": "mit"} | GenVRadmin/AryaBhatta-GemmaUltra-Merged | null | [
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| Base model: CorticalStack/gemma-7b-ultrachat-sft
This is finetuned from above base model and to be used for multi-turn chat based use-cases.
Unlike our AryaBhatta-GemmaOrca model which is skilled in science, literature and finetuned on Orca datasets, this model is fine-tuned on Ultra-Chat datasets. And show improved p... | [] | [
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text-generation | transformers |
# OpenELM
*Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari*
We introduce **OpenELM**, a family of **Open** **E**fficient **L**anguage **M**odels. OpenELM uses a layer-wise scaling strategy... | {"license": "other", "license_name": "apple-sample-code-license", "license_link": "LICENSE"} | apple/OpenELM-270M | null | [
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| OpenELM
=======
*Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari*
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | huypn16/rho-1b-0.1-sft | null | [
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token-classification | transformers | <!-- # 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).
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## Mo... | {"language": ["en"], "license": "mit", "pipeline_tag": "token-classification"} | Kashob/SciBERTNER | null | [
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## Model Details
### Model Description
This is a SciBERT-based model for the Scientific Entity recognition task. The predefined entity types are: 'Generic', 'Material', 'Method', 'Metric', 'OtherScientificTerm', and 'Task'.
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text-generation | transformers |
# OpenELM
*Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari*
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| OpenELM
=======
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text-generation | transformers |
# OpenELM
*Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari*
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| OpenELM
=======
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0001_idpo_same_3iters_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.0001_idpo_same_3iters_iter_1", "results": []}]} | ShenaoZ/0.0001_idpo_same_3iters_iter_1 | null | [
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|
# 0.0001_idpo_same_3iters_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information ne... | [
"# 0.0001_idpo_same_3iters_iter_1\n\nThis model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.",
"## Model description\n\nMore information needed",
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text-generation | transformers |
# OpenELM
*Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari*
We introduce **OpenELM**, a family of **Open** **E**fficient **L**anguage **M**odels. OpenELM uses a layer-wise scaling strategy... | {"license": "other", "license_name": "apple-sample-code-license", "license_link": "LICENSE"} | apple/OpenELM-3B | null | [
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| OpenELM
=======
*Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari*
We introduce OpenELM, a family of Open Efficient Language Models. OpenELM uses a layer-wise scaling strategy to efficient... | [
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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. -->
# gpt1B_domar_finetune
This model is a fine-tuned version of [AI-Sweden-Models/gpt-sw3-1.3b](https://huggingface.co/AI-Sweden-Mode... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "AI-Sweden-Models/gpt-sw3-1.3b", "model-index": [{"name": "gpt1B_domar_finetune", "results": []}]} | thorirhrafn/gpt1B_domar_finetune | null | [
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-AI-Sweden-Models/gpt-sw3-1.3b #license-apache-2.0 #region-us
| gpt1B\_domar\_finetune
======================
This model is a fine-tuned version of AI-Sweden-Models/gpt-sw3-1.3b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8420
Model description
-----------------
More information needed
Intended uses & limitations
-------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e... | [
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text-generation | 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_output_dir
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/M... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "pipeline_tag": "text-generation", "model-index": [{"name": "mistral_output_dir", "results": []}]} | Yash0109/mistral_output_dir | null | [
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|
# mistral_output_dir
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
"# mistral_output_dir\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.",
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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 |
# OpenELM
*Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari*
We introduce **OpenELM**, a family of **Open** **E**fficient **L**anguage **M**odels. OpenELM uses a layer-wise scaling strategy... | {"license": "other", "license_name": "apple-sample-code-license", "license_link": "LICENSE"} | apple/OpenELM-270M-Instruct | null | [
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| OpenELM
=======
*Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari*
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text-generation | transformers |
# OpenELM
*Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari*
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| OpenELM
=======
*Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari*
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text-generation | transformers |
# OpenELM
*Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari*
We introduce **OpenELM**, a family of **Open** **E**fficient **L**anguage **M**odels. OpenELM uses a layer-wise scaling strategy... | {"license": "other", "license_name": "apple-sample-code-license", "license_link": "LICENSE"} | apple/OpenELM-1_1B-Instruct | null | [
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| OpenELM
=======
*Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari*
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text-generation | transformers |
# OpenELM
*Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari*
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| OpenELM
=======
*Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari*
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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![Twitter](URL
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null | null |
This is the iq3_s quantum model for llama.cpp:
https://github.com/ggerganov/llama.cpp/pull/6515 | {"license": "other", "license_name": "databricks-open-model-license", "license_link": "https://www.databricks.com/legal/open-model-license"} | phymbert/dbrx-16x12b-instruct-iq3_s-gguf | null | [
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#gguf #license-other #region-us
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This is the iq3_s quantum model for URL:
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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. -->
# liar_binaryclassifier_roberta_base
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on ... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "liar_binaryclassifier_roberta_base", "results": []}]} | vishalk4u/liar_binaryclassifier_roberta_base | null | [
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| liar\_binaryclassifier\_roberta\_base
=====================================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6254
* Accuracy: 0.6768
Model description
-----------------
More information needed
Intended ... | [
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null | transformers |
# Uploaded model
- **Developed by:** ahmetyaylalioglu
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-2-13b-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... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-2-13b-bnb-4bit"} | ahmetyaylalioglu/GGUF16bit_promptRecovery_Llama | null | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-finetuned-ner
This model is a fine-tuned version of [rishika-v/bert-finetuned-ner](https://huggingface.co/rishika-v/bert-fi... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "rishika-v/bert-finetuned-ner", "model-index": [{"name": "bert-finetuned-ner", "results": []}]} | rishika-v/bert-finetuned-ner | null | [
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| bert-finetuned-ner
==================
This model is a fine-tuned version of rishika-v/bert-finetuned-ner on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1980
* Precision: 0.6607
* Recall: 0.5583
* F1: 0.6052
* Accuracy: 0.9460
Model description
-----------------
More info... | [
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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... | gael1130/ppo-LunarLander-v2-12_april | null | [
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|
# 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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object-detection | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | pukar/sten_detr | 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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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-Cartpole_v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{... | pdx97/Reinforce-Cartpole_v1 | null | [
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#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
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# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
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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. -->
# finetuned
This model is a fine-tuned version of [sberbank-ai/rugpt3large_based_on_gpt2](https://huggingface.co/sberbank-ai/rugpt... | {"tags": ["generated_from_trainer"], "base_model": "sberbank-ai/rugpt3large_based_on_gpt2", "model-index": [{"name": "finetuned", "results": []}]} | Owling797/finetuned | null | [
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-12T22:12:45+00:00 | [] | [] | TAGS
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|
# finetuned
This model is a fine-tuned version of sberbank-ai/rugpt3large_based_on_gpt2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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text-generation | transformers | # 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:
* [WizardLM/WizardMath-7B-V1.1](https://huggin... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["WizardLM/WizardMath-7B-V1.1", "NousResearch/Hermes-2-Pro-Mistral-7B"]} | mergekit-community/mergekit-slerp-aazqqhn | 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:
* WizardLM/WizardMath-7B-V1.1
* NousResearch/Hermes-2-Pro-Mistral-7B
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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. -->
# liar_binaryclassifier_distilbert_cased
This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/dist... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-cased", "model-index": [{"name": "liar_binaryclassifier_distilbert_cased", "results": []}]} | vishalk4u/liar_binaryclassifier_distilbert_cased | null | [
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"license:apache-2.0",
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#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| liar\_binaryclassifier\_distilbert\_cased
=========================================
This model is a fine-tuned version of distilbert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6381
* Accuracy: 0.6421
Model description
-----------------
More information n... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-06\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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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="aka38/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attri... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | aka38/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
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"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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text-generation | transformers |
## Llamacpp Quantizations of zephyr-orpo-141b-A35b-v0.1
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2636">b2636</a> for quantization.
Original model: https://huggingface.co/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1
## Pro... | {"license": "apache-2.0", "tags": ["trl", "orpo", "generated_from_trainer"], "datasets": ["argilla/distilabel-capybara-dpo-7k-binarized"], "base_model": "mistral-community/Mixtral-8x22B-v0.1", "inference": {"parameters": {"temperature": 0.7}}, "quantized_by": "bartowski", "pipeline_tag": "text-generation", "model-index... | bartowski/zephyr-orpo-141b-A35b-v0.1-GGUF | null | [
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| Llamacpp Quantizations of zephyr-orpo-141b-A35b-v0.1
----------------------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
Prompt format
-------------
Download a file (not the whole branch) from below:
-------------------------------------------------... | [] | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="aka38/Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.50 +/- ... | aka38/Taxi-v3 | null | [
"Taxi-v3",
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] | null | 2024-04-12T22:23:52+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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null | null |
This is the Q6_K quantum model for llama.cpp:
https://github.com/ggerganov/llama.cpp/pull/6515 | {"license": "other", "license_name": "databricks-open-model-license", "license_link": "https://www.databricks.com/legal/open-model-license"} | phymbert/dbrx-16x12b-instruct-q6_k-gguf | null | [
"gguf",
"license:other",
"region:us"
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#gguf #license-other #region-us
|
This is the Q6_K quantum model for URL:
URL | [] | [
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13
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased_stock_classification_finetuned_dcard_epoch2
This model is a fine-tuned version of [distilbert/distilbert... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased_stock_classification_finetuned_dcard_epoch2", "results": []}]} | Mou11209203/distilbert-base-uncased_stock_classification_finetuned_dcard_epoch2 | null | [
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#transformers #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-uncased\_stock\_classification\_finetuned\_dcard\_epoch2
========================================================================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4347
* ... | [
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object-detection | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Adeptschneider/detr-finetuned-arm-unicef-vulnerability-challenge-v1.0 | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/cam9fvb | 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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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | stvhuang/rcr-run-5pqr6lwp-90396-master-0_20240402T105012-ep13 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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text-generation | transformers |
<img src="https://allenai.org/olmo/olmo-7b-animation.gif" alt="OLMo Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Model Card for OLMo 7B
<!-- Provide a quick summary of what the model is/does. -->
OLMo is a series of **O**pen **L**anguage **Mo**dels designed to enable the sc... | {"language": ["en"], "license": "apache-2.0", "datasets": ["allenai/dolma"]} | allenai/OLMo-7B-hf | null | [
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| <img src="URL alt="OLMo Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
Model Card for OLMo 7B
======================
OLMo is a series of Open Language Models designed to enable the science of language models.
The OLMo models are trained on the Dolma dataset.
We release all code, ... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased_stock_classification_finetuned_mobile01_all_epoch2
This model is a fine-tuned version of [distilbert/dis... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased_stock_classification_finetuned_mobile01_all_epoch2", "results": []}]} | Mou11209203/distilbert-base-uncased_stock_classification_finetuned_mobile01_all_epoch2 | null | [
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| distilbert-base-uncased\_stock\_classification\_finetuned\_mobile01\_all\_epoch2
================================================================================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
*... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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reinforcement-learning | stable-baselines3 |
# **PPO-Mlp** Agent playing **LunarLander-v2**
This is a trained model of a **PPO-Mlp** 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 huggingf... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO-Mlp", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "Lu... | cuckookernel/hf-drl-course | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO-Mlp Agent playing LunarLander-v2
This is a trained model of a PPO-Mlp agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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null | null | Sparse autoencoders trained on [Qwen/Qwen1.5-0.5B](https://huggingface.co/Qwen/Qwen1.5-0.5B) | {"datasets": ["Skylion007/openwebtext"]} | kcoopermiller/qwen1.5-0.5b-saes | null | [
"dataset:Skylion007/openwebtext",
"region:us"
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#dataset-Skylion007/openwebtext #region-us
| Sparse autoencoders trained on Qwen/Qwen1.5-0.5B | [] | [
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text-generation | transformers | <!-- header start -->
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|
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![Twitter](URL
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text-generation | transformers |
<img src="https://huggingface.co/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1/resolve/main/logo.png" alt="Zephyr 141B Logo" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Model Card for Zephyr 141B-A35B
Zephyr is a series of language models that are trained to act as helpful assistants. ... | {"license": "apache-2.0", "tags": ["trl", "orpo", "generated_from_trainer"], "datasets": ["argilla/distilabel-capybara-dpo-7k-binarized"], "base_model": "mistral-community/Mixtral-8x22B-v0.1", "model-index": [{"name": "zephyr-orpo-141b-A35b-v0.1", "results": []}]} | blockblockblock/zephyr-orpo-141b-A35b-v0.1-bpw4.4 | null | [
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Model Card for Zephyr 141B-A35B
===============================
Zephyr is a series of language models that are trained to act as helpful assistants. Zephyr 141B-A35B is the latest model in the series, a... | [
"### Model Description\n\n\n* Model type: A Mixture of Experts (MoE) model with 141B total parameters and 35B active parameters. Fine-tuned on a mix of publicly available, synthetic datasets.\n* Language(s) (NLP): Primarily English.\n* License: Apache 2.0\n* Finetuned from model: mistral-community/Mixtral-8x22B-v0.... | [
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null | adapter-transformers |
# Adapter `BigTMiami/C_adapter_seq_bn_pretraining_P_15` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_split_25M_reviews_20_percent_condensed](https://huggingface.co/datasets/BigTMiami/amazon_split_25M_reviews_20_percent_condensed/) dataset ... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_split_25M_reviews_20_percent_condensed"]} | BigTMiami/C_adapter_seq_bn_pretraining_P_15 | null | [
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"region:us"
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_split_25M_reviews_20_percent_condensed #region-us
|
# Adapter 'BigTMiami/C_adapter_seq_bn_pretraining_P_15' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_split_25M_reviews_20_percent_condensed dataset and includes a prediction head for masked lm.
This adapter was created for usage with the Adapters library.
## Usag... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased_stock_classification_finetuned_ptt_epoch2
This model is a fine-tuned version of [distilbert/distilbert-b... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased_stock_classification_finetuned_ptt_epoch2", "results": []}]} | Mou11209203/distilbert-base-uncased_stock_classification_finetuned_ptt_epoch2 | null | [
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| distilbert-base-uncased\_stock\_classification\_finetuned\_ptt\_epoch2
======================================================================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6433
* Accu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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null | 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_retrained
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral_retrained", "results": []}]} | JoseBambora/mistral_retrained | null | [
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| mistral\_retrained
==================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1265
Model description
-----------------
More information needed
Intended uses & limitations
----------------... | [
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text-to-image | null | # Playground v2 – 1024px Aesthetic Model
This repository contains a model that generates highly aesthetic images of resolution 1024x1024. You can use the model with Hugging Face 🧨 Diffusers.
**Pla... | {"license": "other", "tags": ["text-to-image", "playground"], "license_name": "playground-v2-community", "license_link": "https://huggingface.co/playgroundai/playground-v2-1024px-aesthetic/blob/main/LICENSE.md", "inference": {"parameters": {"guidance_scale": 3.0}}} | JCTN/playground-v2-1024px-aesthetic | null | [
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"playground",
"license:other",
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#text-to-image #playground #license-other #region-us
| Playground v2 – 1024px Aesthetic Model
======================================
This repository contains a model that generates highly aesthetic images of resolution 1024x1024. You can use the model with Hugging Face Diffusers.
!image/png
Playground v2 is a diffusion-based text-to-image generative model. The model ... | [
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text-generation | transformers | # Description
[MaziyarPanahi/zephyr-orpo-141b-A35b-v0.1-AWQ](https://huggingface.co/MaziyarPanahi/zephyr-orpo-141b-A35b-v0.1-AWQ) is a quantized (AWQ) version of [HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1](https://huggingface.co/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1)
## How to use
### Install the necessary packages
... | {"tags": ["finetuned", "quantized", "4-bit", "AWQ", "transformers", "tensorboard", "safetensors", "mixtral", "text-generation", "trl", "orpo", "generated_from_trainer", "conversational", "dataset:argilla/distilabel-capybara-dpo-7k-binarized", "arxiv:2403.07691", "arxiv:2311.07911", "base_model:mistral-community/Mixtral... | MaziyarPanahi/zephyr-orpo-141b-A35b-v0.1-AWQ | null | [
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MaziyarPanahi/zephyr-orpo-141b-A35b-v0.1-AWQ is a quantized (AWQ) version of HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1
## How to use
### Install the necessary packages
### Example Python code
Results:
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-Cartpole_v1_Updated", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metr... | pdx97/Reinforce-Cartpole_v1_Updated | null | [
"CartPole-v1",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-12T22:49:27+00:00 | [] | [] | TAGS
#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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"TAGS\n#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n# Reinforce Agent playing CartPole-v1\n This is a trained model of a Reinforce agent playing CartPole-v1 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Lear... |
text-generation | transformers |
# Yamshadowexperiment28M7-7B
Yamshadowexperiment28M7-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [liminerity/M7-7b](https://huggingface.co/liminerity/M7-7b)
## 🧩 Configuration
```yaml
models:
- model: automerger/YamshadowExperiment28-7B... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["liminerity/M7-7b"]} | automerger/Yamshadowexperiment28M7-7B | null | [
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"mistral",
"text-generation",
"merge",
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"lazymergekit",
"automerger",
"base_model:liminerity/M7-7b",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-12T22:50:24+00:00 | [] | [] | TAGS
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|
# Yamshadowexperiment28M7-7B
Yamshadowexperiment28M7-7B is an automated merge created by Maxime Labonne using the following configuration.
* liminerity/M7-7b
## Configuration
## Usage
| [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased_stock_classification_finetuned_news_all_epoch2
This model is a fine-tuned version of [distilbert/distilb... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased_stock_classification_finetuned_news_all_epoch2", "results": []}]} | Mou11209203/distilbert-base-uncased_stock_classification_finetuned_news_all_epoch2 | null | [
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"text-classification",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T22:50:46+00:00 | [] | [] | TAGS
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| distilbert-base-uncased\_stock\_classification\_finetuned\_news\_all\_epoch2
============================================================================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0... | [
"### 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",
"### Traini... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0001_idpo_same_6iters_iter_3
This model is a fine-tuned version of [ShenaoZ/0.0001_idpo_same_6iters_iter_2](https://huggingfac... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.0001_idpo_same_6iters_iter_2", "model-index": [{"name": "0.0001_idpo_same_6iters_iter_3", "results": []}]} | ShenaoZ/0.0001_idpo_same_6iters_iter_3 | null | [
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"base_model:ShenaoZ/0.0001_idpo_same_6iters_iter_2",
"license:mit",
"autotrain_compatible",
"endpoints_compa... | null | 2024-04-12T22:51:13+00:00 | [] | [] | TAGS
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|
# 0.0001_idpo_same_6iters_iter_3
This model is a fine-tuned version of ShenaoZ/0.0001_idpo_same_6iters_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
#... | [
"# 0.0001_idpo_same_6iters_iter_3\n\nThis model is a fine-tuned version of ShenaoZ/0.0001_idpo_same_6iters_iter_2 on the updated and the original datasets.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore... | [
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text-generation | transformers |
<img src="https://allenai.org/olmo/olmo-7b-animation.gif" alt="OLMo Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Model Card for OLMo 7B Twin 2T
<!-- Provide a quick summary of what the model is/does. -->
OLMo is a series of **O**pen **L**anguage **Mo**dels designed to enabl... | {"language": ["en"], "license": "apache-2.0", "datasets": ["allenai/dolma"]} | allenai/OLMo-7B-Twin-2T-hf | null | [
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"en",
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"arxiv:2402.00838",
"arxiv:2302.13971",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T22:52:03+00:00 | [
"2402.00838",
"2302.13971"
] | [
"en"
] | TAGS
#transformers #safetensors #olmo #text-generation #en #dataset-allenai/dolma #arxiv-2402.00838 #arxiv-2302.13971 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| <img src="URL alt="OLMo Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
Model Card for OLMo 7B Twin 2T
==============================
OLMo is a series of Open Language Models designed to enable the science of language models.
The OLMo models are trained on the Dolma dataset.
We re... | [
"### Model Description\n\n\n* Developed by: Allen Institute for AI (AI2)\n* Supported by: Databricks, Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University, AMD, CSC (Lumi Supercomputer), UW\n* Model type: a Transformer style autoregressive language model.\n* Language(s) (NLP)... | [
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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": "vilsonrodrigues/falcon-7b-instruct-sharded"} | deepaknh/falcon7B_FineTuning_ReExperiment_1_QLORA_7perParam_ILR_increased | null | [
"peft",
"arxiv:1910.09700",
"base_model:vilsonrodrigues/falcon-7b-instruct-sharded",
"region:us"
] | null | 2024-04-12T22:52:18+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #arxiv-1910.09700 #base_model-vilsonrodrigues/falcon-7b-instruct-sharded #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional]:",
"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
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"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- F... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/allknowingroger/Calmex26-10B-MoE
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "allknowingroger/MultiverseEx26-7B-slerp", "allknowingroger/CalmExperiment-7B-slerp"], "base_model": "allknowingroger/Calmex26-10B-MoE", "quantized_by": "mradermacher"} | mradermacher/Calmex26-10B-MoE-GGUF | null | [
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"en",
"base_model:allknowingroger/Calmex26-10B-MoE",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T22:53:35+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #moe #frankenmoe #merge #mergekit #lazymergekit #allknowingroger/MultiverseEx26-7B-slerp #allknowingroger/CalmExperiment-7B-slerp #en #base_model-allknowingroger/Calmex26-10B-MoE #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0_dataup_noreplacerej_40g_iter_2
This model is a fine-tuned version of [ZhangShenao/0.0_dataup_noreplacerej_40g_iter_1](https:... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_dataup_noreplacerej_40g_dataset"], "base_model": "ZhangShenao/0.0_dataup_noreplacerej_40g_iter_1", "model-index": [{"name": "0.0_dataup_noreplacerej_40g_iter_2", "results": ... | ZhangShenao/0.0_dataup_noreplacerej_40g_iter_2 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"alignment-handbook",
"generated_from_trainer",
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"dpo",
"conversational",
"dataset:ZhangShenao/0.0_dataup_noreplacerej_40g_dataset",
"base_model:ZhangShenao/0.0_dataup_noreplacerej_40g_iter_1",
"license:mit",
"autotrain_compa... | null | 2024-04-12T22:53:41+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-ZhangShenao/0.0_dataup_noreplacerej_40g_dataset #base_model-ZhangShenao/0.0_dataup_noreplacerej_40g_iter_1 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-in... |
# 0.0_dataup_noreplacerej_40g_iter_2
This model is a fine-tuned version of ZhangShenao/0.0_dataup_noreplacerej_40g_iter_1 on the ZhangShenao/0.0_dataup_noreplacerej_40g_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluatio... | [
"# 0.0_dataup_noreplacerej_40g_iter_2\n\nThis model is a fine-tuned version of ZhangShenao/0.0_dataup_noreplacerej_40g_iter_1 on the ZhangShenao/0.0_dataup_noreplacerej_40g_dataset dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Tr... | [
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null | null |
# Modelo de Clasificación de Preferencias de Vehículos y Crédito
Este modelo clasifica a los usuarios en grupos basados en sus preferencias de vehículos, créditos vehiculares y el sistema financiero.
## Cómo Usar
- Ejecute la aplicación con Gradio.
- Responda a las preguntas proporcionadas.
- Obtenga la clasificació... | {} | EdissonMora96/RF_clientes_vehiculos | null | [
"region:us"
] | null | 2024-04-12T22:57:25+00:00 | [] | [] | TAGS
#region-us
|
# Modelo de Clasificación de Preferencias de Vehículos y Crédito
Este modelo clasifica a los usuarios en grupos basados en sus preferencias de vehículos, créditos vehiculares y el sistema financiero.
## Cómo Usar
- Ejecute la aplicación con Gradio.
- Responda a las preguntas proporcionadas.
- Obtenga la clasificació... | [
"# Modelo de Clasificación de Preferencias de Vehículos y Crédito\n\nEste modelo clasifica a los usuarios en grupos basados en sus preferencias de vehículos, créditos vehiculares y el sistema financiero.",
"## Cómo Usar\n- Ejecute la aplicación con Gradio.\n- Responda a las preguntas proporcionadas.\n- Obtenga la... | [
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reinforcement-learning | stable-baselines3 |
# **PPO-Mlp** Agent playing **LunarLander-v2**
This is a trained model of a **PPO-Mlp** 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 huggingf... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO-Mlp", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "Lu... | cuckookernel/hf-deep-rl-course-unit-1 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-12T23:01:08+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO-Mlp Agent playing LunarLander-v2
This is a trained model of a PPO-Mlp agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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null | adapter-transformers |
# Adapter `BigTMiami/C_adapter_seq_bn_classification_C_20` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness/) dataset and includes a prediction head for classification.
... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_helpfulness"]} | BigTMiami/C_adapter_seq_bn_classification_C_20 | null | [
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness #region-us
|
# Adapter 'BigTMiami/C_adapter_seq_bn_classification_C_20' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, install '... | [
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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... | djlouie/ppo-LunarLander-v2 | null | [
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"region:us"
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
text-generation | transformers |
# Uploaded model
- **Developed by:** prince-canuma
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-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.c... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | prince-canuma/Damysus-Coder-v0.1 | null | [
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|
# Uploaded model
- Developed by: prince-canuma
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-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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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Yasusan/Llama2_0412_sft_ja_en_high | null | [
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# Model Card for Model ID
## 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": []} | ayman56/mistral7b_finetuned_full_stackoverflow_test | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | raf6423/Hermes-Mistral-7B-Orca | null | [
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|
# Model Card for Model ID
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### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# training
This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on the None dataset.
... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "training", "results": []}]} | carolynayamamoto/biogpt-ner-classification | null | [
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"generated_from_trainer",
"license:mit",
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#transformers #pytorch #tensorboard #gpt2 #token-classification #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| training
========
This model is a fine-tuned version of microsoft/biogpt on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1539
* Precision: 0.4323
* Recall: 0.5273
* F1: 0.4751
* Accuracy: 0.9559
Model description
-----------------
More information needed
Intended uses &... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/maywell/PiVoT-MoE
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/PiVoT-MoE-GGUF
## Usage... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "base_model": "maywell/PiVoT-MoE", "quantized_by": "mradermacher"} | mradermacher/PiVoT-MoE-i1-GGUF | null | [
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| 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
## Summary
This model was trained using [H2O LLM Studio](https://github.com/h2oai/h2o-llmstudio).
- Base model: [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)
## Usage
To use the model with the `transformers` library on a machine with GPUs, first make sure you have the `t... | {"language": ["en"], "library_name": "transformers", "tags": ["gpt", "llm", "large language model", "h2o-llmstudio"], "inference": false, "thumbnail": "https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico"} | mwalol/funny-pronghorn-classifier | null | [
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"large language model",
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#transformers #safetensors #mistral #text-generation #gpt #llm #large language model #h2o-llmstudio #en #autotrain_compatible #text-generation-inference #region-us
| # Model Card
## Summary
This model was trained using H2O LLM Studio.
- Base model: mistralai/Mistral-7B-v0.1
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To use the model with the 'transformers' library on a machine with GPUs, first make sure you have the 'transformers' library installed.
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased_classification_finetuned_dcard_f1max_epochmax5
This model is a fine-tuned version of [distilbert/distilb... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased_classification_finetuned_dcard_f1max_epochmax5", "results": []}]} | Mou11209203/distilbert-base-uncased_classification_finetuned_dcard_f1max_epochmax5 | null | [
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| distilbert-base-uncased\_classification\_finetuned\_dcard\_f1max\_epochmax5
===========================================================================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3... | [
"### 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: 5",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral_instruct_generation
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral_instruct_generation", "results": []}]} | Satyach/mistral_instruct_generation | null | [
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"license:apache-2.0",
"region:us"
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
|
# mistral_instruct_generation
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tr... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ed001/datagemma-7b | 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]:
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- License... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# saccaromyces-pythia-v1
This model is a fine-tuned version of [EleutherAI/pythia-160m-deduped-v0](https://huggingface.co/Eleuther... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m-deduped-v0", "model-index": [{"name": "saccaromyces-pythia-v1", "results": []}]} | as-cle-bert/saccharomyces-pythia-v1 | null | [
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| saccaromyces-pythia-v1
======================
This model is a fine-tuned version of EleutherAI/pythia-160m-deduped-v0 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4040
Model description
-----------------
More information needed
Intended uses & limitations
-----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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null | adapter-transformers |
# Adapter `BigTMiami/C_adapter_seq_bn_classification_P_15_to_C_20` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness/) dataset and includes a prediction head for classifi... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_helpfulness"]} | BigTMiami/C_adapter_seq_bn_classification_P_15_to_C_20 | null | [
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|
# Adapter 'BigTMiami/C_adapter_seq_bn_classification_P_15_to_C_20' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, i... | [
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text-generation | peft | Model Card for Fantastica-7b-Instruct-0.2-Italian-GGUF
# 🇮🇹 Fantastica-7b-Instruct-0.2-Italian-GGUF 🇮🇹
Fantastica-7b-Instruct-0.2-Italian is an Italian speaking, instruction finetuned, Large Language model. 🇮🇹
# Fantastica-7b-Instruct-0.2-Italian's peculiar features:
- Mistral-7B-Instruct-v0.2 as base.
- gen... | {"language": ["it"], "license": "apache-2.0", "library_name": "peft", "tags": ["Italian", "GGUF", "Mistral", "finetuning", "Text Generation"], "datasets": ["scribis/Wikipedia_it_Trame_Romanzi", "scribis/Wikipedia-it-Descrizioni-di-Dipinti", "scribis/Wikipedia-it-Trame-di-Film", "scribis/Corpus-Frasi-da-Opere-Letterarie... | scribis/Fantastica-7b-Instruct-0.2-Italian-GGUF | null | [
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"dataset:scribis/Corpus-Frasi-da-Opere-Le... | null | 2024-04-12T23:22:34+00:00 | [] | [
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# 🇮🇹 Fantastica-7b-Instruct-0.2-Italian-GGUF 🇮🇹
Fantastica-7b-Instruct-0.2-Italian is an Italian speaking, instruction finetuned, Large Language model. 🇮🇹
# Fantastica-7b-Instruct-0.2-Italian's peculiar features:
- Mistral-7B-Instruct-v0.2 as base.
- gen... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased_classification_finetuned_mobile01_all_f1max_epochmax5
This model is a fine-tuned version of [distilbert/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased_classification_finetuned_mobile01_all_f1max_epochmax5", "results": []}]} | Mou11209203/distilbert-base-uncased_classification_finetuned_mobile01_all_f1max_epochmax5 | null | [
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| distilbert-base-uncased\_classification\_finetuned\_mobile01\_all\_f1max\_epochmax5
===================================================================================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation se... | [
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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:
* [WizardLM/WizardMath-7B-V1.1](https://huggin... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["WizardLM/WizardMath-7B-V1.1", "NousResearch/Hermes-2-Pro-Mistral-7B"]} | mergekit-community/mergekit-slerp-qabprkt | null | [
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] | null | 2024-04-12T23:28:22+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* WizardLM/WizardMath-7B-V1.1
* NousResearch/Hermes-2-Pro-Mistral-7B
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | abhayesian/BobzillaV12 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text2text-generation | transformers |
# 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": []} | Reyansh4/NMT_T5_wmt14_de_to_en | null | [
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|
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/TheHappyDrone/Occult_V02
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "TheHappyDrone/Occult_V02", "quantized_by": "mradermacher"} | mradermacher/Occult_V02-GGUF | null | [
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"en"
] | TAGS
#transformers #gguf #text-generation-inference #unsloth #mistral #trl #sft #en #base_model-TheHappyDrone/Occult_V02 #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #text-generation-inference #unsloth #mistral #trl #sft #en #base_model-TheHappyDrone/Occult_V02 #license-apache-2.0 #endpoints_compatible #region-us \n"
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] |
text-generation | transformers | # h2o-danube2-1.8b-chat-exl2
Original model: [h2o-danube2-1.8b-chat](https://huggingface.co/h2oai/h2o-danube2-1.8b-chat)
Model creator: [H2O.ai](https://huggingface.co/h2oai/)
## Quants
[4bpw h6 (main)](https://huggingface.co/cgus/h2o-danube2-1.8b-chat/tree/main)
[4.25bpw h6](https://huggingface.co/cgus/h2o-danube2... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["gpt", "llm", "large language model", "h2o-llmstudio"], "model_name": "h2o-danube2-1.8b-chat", "thumbnail": "https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico", "pipeline_tag": "text-generation"... | cgus/h2o-danube2-1.8b-chat-exl2 | null | [
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"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-12T23:34:33+00:00 | [
"2401.16818"
] | [
"en"
] | TAGS
#transformers #mistral #text-generation #gpt #llm #large language model #h2o-llmstudio #conversational #en #arxiv-2401.16818 #base_model-h2oai/h2o-danube2-1.8b-chat #license-apache-2.0 #autotrain_compatible #text-generation-inference #region-us
| h2o-danube2-1.8b-chat-exl2
==========================
Original model: h2o-danube2-1.8b-chat
Model creator: URL
Quants
------
4bpw h6 (main)
4.25bpw h6
4.65bpw h6
5bpw h6
6bpw h6
8bpw h8
Quantization notes
------------------
Made with Exllamav2 0.0.18 with the default dataset.
Additionally... | [
"### Open LLM Leaderboard",
"### MT-Bench\n\n\n!image/png\n\n\nDisclaimer\n----------\n\n\nPlease read this disclaimer carefully before using the large language model provided in this repository. Your use of the model signifies your agreement to the following terms and conditions.\n\n\n* Biases and Offensiveness:... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased_classification_finetuned_ptt_f1max_epochmax5
This model is a fine-tuned version of [distilbert/distilber... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased_classification_finetuned_ptt_f1max_epochmax5", "results": []}]} | Mou11209203/distilbert-base-uncased_classification_finetuned_ptt_f1max_epochmax5 | null | [
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"text-classification",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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| distilbert-base-uncased\_classification\_finetuned\_ptt\_f1max\_epochmax5
=========================================================================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6311
... | [
"### 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: 5",
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased_classification_finetuned_news_all_f1max_epochmax5
This model is a fine-tuned version of [distilbert/dist... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased_classification_finetuned_news_all_f1max_epochmax5", "results": []}]} | Mou11209203/distilbert-base-uncased_classification_finetuned_news_all_f1max_epochmax5 | null | [
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"license:apache-2.0",
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"endpoints_compatible",
"region:us"
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| distilbert-base-uncased\_classification\_finetuned\_news\_all\_f1max\_epochmax5
===============================================================================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* L... | [
"### 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: 5",
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null | adapter-transformers |
# Adapter `jgrc3/RobertaDAPT_adapters_pfeiffer_reDo` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_split_25M_reviews_20_percent_condensed](https://huggingface.co/datasets/BigTMiami/amazon_split_25M_reviews_20_percent_condensed/) dataset.
T... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_split_25M_reviews_20_percent_condensed"]} | jgrc3/RobertaDAPT_adapters_pfeiffer_reDo | null | [
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"dataset:BigTMiami/amazon_split_25M_reviews_20_percent_condensed",
"region:us"
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_split_25M_reviews_20_percent_condensed #region-us
|
# Adapter 'jgrc3/RobertaDAPT_adapters_pfeiffer_reDo' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_split_25M_reviews_20_percent_condensed dataset.
This adapter was created for usage with the Adapters library.
## Usage
First, install 'adapters':
Now, the adapte... | [
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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. -->
# ShaderLLM-CodeGemma-7b-it
This model is a fine-tuned version of [unsloth/codegemma-7b-it](https://huggingface.co/unsloth/codegem... | {"license": "apache-2.0", "tags": ["trl", "sft", "unsloth", "generated_from_trainer", "unsloth"], "datasets": ["generator"], "base_model": "unsloth/codegemma-7b-it", "model-index": [{"name": "ShaderLLM-CodeGemma-7b-it", "results": []}]} | seanmemery/ShaderLLM-CodeGemma-7b-it | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
... | null | 2024-04-12T23:43:02+00:00 | [] | [] | TAGS
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| ShaderLLM-CodeGemma-7b-it
=========================
This model is a fine-tuned version of unsloth/codegemma-7b-it on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 3.3759
Model description
-----------------
More information needed
Intended uses & limitations
----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: polynomial\n* num\\_epochs: 2",
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null | null |
This is the iq3_xxs quantum model for llama.cpp:
https://github.com/ggerganov/llama.cpp/pull/6515 | {"license": "other", "license_name": "databricks-open-model-license", "license_link": "https://www.databricks.com/legal/open-model-license"} | phymbert/dbrx-16x12b-instruct-iq3_xxs-gguf | null | [
"gguf",
"license:other",
"region:us"
] | null | 2024-04-12T23:43:43+00:00 | [] | [] | TAGS
#gguf #license-other #region-us
|
This is the iq3_xxs quantum model for URL:
URL | [] | [
"TAGS\n#gguf #license-other #region-us \n"
] | [
13
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null | null | Model info:
https://civitai.com/models/375543/jellymix-xl
| {"license": "other"} | digiplay/Jellymix_XL_v1 | null | [
"license:other",
"region:us"
] | null | 2024-04-12T23:43:44+00:00 | [] | [] | TAGS
#license-other #region-us
| Model info:
URL
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-v0.1"} | mille055/duke_chatbot0412_adapter_3 | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:mistralai/Mistral-7B-v0.1",
"region:us"
] | null | 2024-04-12T23:45:24+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-v0.1 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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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... | Edgar404/LunarLander-unit_1 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-12T23:46:57+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 | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/yam-peleg/Experiment26-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show u... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["chat"], "base_model": "yam-peleg/Experiment26-7B", "quantized_by": "mradermacher"} | mradermacher/Experiment26-7B-GGUF | null | [
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"gguf",
"chat",
"en",
"base_model:yam-peleg/Experiment26-7B",
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"en"
] | TAGS
#transformers #gguf #chat #en #base_model-yam-peleg/Experiment26-7B #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | null | This research (paper) used datasets from 'The Open AI Dataset Project (AI-Hub, S. Korea)'. All data information can be accessed through 'AI-Hub (www.aihub.or.kr).
Code Repository: https://github.com/seastar105/pflow-encodec | {"language": ["ja"], "tags": ["TTS"]} | seastar105/pflow-encodec-aihub-libri-japanese | null | [
"TTS",
"ja",
"region:us"
] | null | 2024-04-12T23:48:52+00:00 | [] | [
"ja"
] | TAGS
#TTS #ja #region-us
| This research (paper) used datasets from 'The Open AI Dataset Project (AI-Hub, S. Korea)'. All data information can be accessed through 'AI-Hub (URL).
Code Repository: URL | [] | [
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | AnkushJindal28/bio-gpt-3 | 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 | 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": []} | pandafm/donutES-vf | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712966140629x883381548086239700
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
A photo of TOK
```
Use this keyword to trigger your custom model in your prompts.... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["decastro/Supergirl2"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A photo of TOK", "inference": false} | squaadinc/1712966140629x883381548086239700 | null | [
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|
# LoRA DreamBooth - squaadinc/1712966140629x883381548086239700
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
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fill-mask | 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. -->
# codebert_4
This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-ml... | {"tags": ["generated_from_trainer"], "base_model": "microsoft/codebert-base-mlm", "model-index": [{"name": "codebert_4", "results": []}]} | ZZZZCCCC/codebert_4 | null | [
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| codebert\_4
===========
This model is a fine-tuned version of microsoft/codebert-base-mlm on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6085
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More in... | [
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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": []} | pspedro19/DnlModel | null | [
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## Model Details
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_idpo_same_scratch_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.001_idpo_same_scratch_iter_1", "results": []}]} | ShenaoZ/0.001_idpo_same_scratch_iter_1 | null | [
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"endpoints_co... | null | 2024-04-13T00:04:49+00:00 | [] | [] | TAGS
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|
# 0.001_idpo_same_scratch_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information ne... | [
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text-generation | transformers | > [!Important]
> Still in experiment
# About this model
Do you know TSF, TS, TG? A lot of model don't really know about that, so I do some experiment to finetune TSF dataset.
- **Finetuned with rough translate dataset, to increase the accuracy in TSF theme, which is not quite popular. (lewd dataset)**
- **Finetuned f... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft", "Roleplay", "roleplay"], "base_model": "SanjiWatsuki/Kunoichi-DPO-v2-7B"} | Alsebay/NarumashiRTS-V2 | null | [
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| > [!Important]
> Still in experiment
# About this model
Do you know TSF, TS, TG? A lot of model don't really know about that, so I do some experiment to finetune TSF dataset.
- Finetuned with rough translate dataset, to increase the accuracy in TSF theme, which is not quite popular. (lewd dataset)
- Finetuned from mo... | [
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