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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. -->
# GUE_prom_prom_core_all-seqsight_4096_512_27M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_prom_prom_core_all-seqsight_4096_512_27M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_all-seqsight_4096_512_27M-L8_f | null | [
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| GUE\_prom\_prom\_core\_all-seqsight\_4096\_512\_27M-L8\_f
=========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_all dataset.
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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
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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 |
# Uploaded model
- **Developed by:** wallaceblaia
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | wallaceblaia/mistral-icm-04-1 | null | [
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null | transformers | ## About
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<!-- ### convert_type: -->
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weighted/imatrix quants of https://huggingface.co/fireworks-ai/mixtral-8x22b-instruct-oh
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weighted/imatrix quants of URL
static quants are available at URL
Usage
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If you are unsure how to use GGUF files, refer to one of TheBloke's
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Provided Quants
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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": []} | GBaker/flan-t5-ecr-summ-resum-10epochs | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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. -->
# GUE_prom_prom_core_all-seqsight_4096_512_27M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_prom_prom_core_all-seqsight_4096_512_27M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_all-seqsight_4096_512_27M-L32_f | null | [
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| GUE\_prom\_prom\_core\_all-seqsight\_4096\_512\_27M-L32\_f
==========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_all dataset.
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... | [
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text-generation | transformers | # Orenguteng/Llama-3-8B-LexiFun-Uncensored-V1 AWQ
solidrust/Llama-3-8B-LexiFun-Uncensored-V1
- Model creator: [Orenguteng](https://huggingface.co/Orenguteng)
- Original model: [Llama-3-8B-LexiFun-Uncensored-V1](https://huggingface.co/Orenguteng/Llama-3-8B-LexiFun-Uncensored-V1)
![image/png](https://cdn-uploads.huggi... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "llama3", "comedy", "comedian", "fun", "funny", "llama38b", "laugh", "sarcasm", "roleplay"], "license_name": "llama3", "license_link": "https://llama.meta.... | solidrust/Llama-3-8B-LexiFun-Uncensored-V1-AWQ | null | [
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| # Orenguteng/Llama-3-8B-LexiFun-Uncensored-V1 AWQ
solidrust/Llama-3-8B-LexiFun-Uncensored-V1
- Model creator: Orenguteng
- Original model: Llama-3-8B-LexiFun-Uncensored-V1
!image/png
## Model Summary
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "microsoft/resnet-18"} | pintu5057/resnet50-finetuned-lora-food101 | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# GUE_prom_prom_core_notata-seqsight_4096_512_27M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_prom_prom_core_notata-seqsight_4096_512_27M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_notata-seqsight_4096_512_27M-L1_f | null | [
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============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_notata dataset.
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text-generation | transformers | # LYNN - AI for Roleplay
<img src="./reallynn.png" alt="it's lynn!" width="340"/>
> [!TIP]
> No issue found... yet..
# Soliloquy-L3
Soliloquy-L3 is a highly capable roleplaying model designed for immersive, dynamic experiences. Trained on over 250 million tokens of roleplaying data, Soliloquy-L3 has a vast knowledg... | {"language": ["en"], "license": "cc-by-nc-sa-4.0"} | openlynn/Llama-3-Soliloquy-8B-v2 | null | [
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] | null | 2024-04-26T00:02:51+00:00 | [] | [
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] | TAGS
#transformers #safetensors #llama #text-generation #conversational #en #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| LYNN - AI for Roleplay
======================
>
> [!TIP]
> No issue found... yet..
>
>
>
Soliloquy-L3
============
Soliloquy-L3 is a highly capable roleplaying model designed for immersive, dynamic experiences. Trained on over 250 million tokens of roleplaying data, Soliloquy-L3 has a va... | [] | [
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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. -->
# results-Meta-Llama-3-8B-qlora-pos-no-tag
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "results-Meta-Llama-3-8B-qlora-pos-no-tag", "results": []}]} | AlienKevin/Meta-Llama-3-8B-qlora-pos-no-tag | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:meta-llama/Meta-Llama-3-8B",
"license:other",
"region:us"
] | null | 2024-04-26T00:08:10+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Meta-Llama-3-8B #license-other #region-us
| results-Meta-Llama-3-8B-qlora-pos-no-tag
========================================
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4650
Model description
-----------------
More information needed
Intended... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 12\n* eval\\_batch\\_size: 12\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps... | [
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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. -->
# GUE_prom_prom_core_notata-seqsight_4096_512_27M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_prom_prom_core_notata-seqsight_4096_512_27M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_notata-seqsight_4096_512_27M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_27M",
"region:us"
] | null | 2024-04-26T00:09:10+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_prom\_prom\_core\_notata-seqsight\_4096\_512\_27M-L8\_f
============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_notata dataset.
It achieves the following results on the evaluation... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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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. -->
# GUE_prom_prom_core_notata-seqsight_4096_512_27M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_prom_prom_core_notata-seqsight_4096_512_27M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_notata-seqsight_4096_512_27M-L32_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_27M",
"region:us"
] | null | 2024-04-26T00:11:48+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_prom\_prom\_core\_notata-seqsight\_4096\_512\_27M-L32\_f
=============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_notata dataset.
It achieves the following results on the evaluati... | [
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... | [
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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... | rvukasin/LundarLanderV2Exam | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-26T00:12:30+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
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
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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. -->
# GUE_prom_prom_core_tata-seqsight_4096_512_27M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_prom_prom_core_tata-seqsight_4096_512_27M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_tata-seqsight_4096_512_27M-L1_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_27M",
"region:us"
] | null | 2024-04-26T00:15:48+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_prom\_prom\_core\_tata-seqsight\_4096\_512\_27M-L1\_f
==========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_tata dataset.
It achieves the following results on the evaluation set:
... | [
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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. -->
# GUE_prom_prom_core_tata-seqsight_4096_512_27M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_prom_prom_core_tata-seqsight_4096_512_27M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_tata-seqsight_4096_512_27M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_27M",
"region:us"
] | null | 2024-04-26T00:15:57+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_prom\_prom\_core\_tata-seqsight\_4096\_512\_27M-L8\_f
==========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_tata dataset.
It achieves the following results on the evaluation set:
... | [
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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. -->
# test_trainer
This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-ca... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google-bert/bert-base-cased", "model-index": [{"name": "test_trainer", "results": []}]} | SRBaxla/test_trainer | null | [
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"tensorboard",
"safetensors",
"bert",
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"generated_from_trainer",
"base_model:google-bert/bert-base-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T00:16:36+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-google-bert/bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| test\_trainer
=============
This model is a fine-tuned version of google-bert/bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0672
* Accuracy: 0.9888
Model description
-----------------
More information needed
Intended uses & limitations
--------------... | [
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null | null |
# Meta-Llama-3-8b-Lexi-Uninstruct-function-calling-json-mode-Task-Arithmetic-v0.2A
Meta-Llama-3-8b-Lexi-Uninstruct-function-calling-json-mode-Task-Arithmetic-v0.2A is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [hiieu/M... | {"tags": ["merge", "mergekit", "lazymergekit", "hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode", "Orenguteng/Lexi-Llama-3-8B-Uncensored", "NousResearch/Meta-Llama-3-8B", "NousResearch/Meta-Llama-3-8B-Instruct"], "base_model": ["hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode", "Orenguteng/Lexi-Llam... | Nhoodie/Meta-Llama-3-8b-Lexi-Uninstruct-function-calling-json-mode-Task-Arithmetic-v0.2A | null | [
"merge",
"mergekit",
"lazymergekit",
"hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode",
"Orenguteng/Lexi-Llama-3-8B-Uncensored",
"NousResearch/Meta-Llama-3-8B",
"NousResearch/Meta-Llama-3-8B-Instruct",
"base_model:hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode",
"base_model:Oren... | null | 2024-04-26T00:16:43+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode #Orenguteng/Lexi-Llama-3-8B-Uncensored #NousResearch/Meta-Llama-3-8B #NousResearch/Meta-Llama-3-8B-Instruct #base_model-hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode #base_model-Orenguteng/Lexi-Llama-3-8B-Uncensor... |
# Meta-Llama-3-8b-Lexi-Uninstruct-function-calling-json-mode-Task-Arithmetic-v0.2A
Meta-Llama-3-8b-Lexi-Uninstruct-function-calling-json-mode-Task-Arithmetic-v0.2A is a merge of the following models using LazyMergekit:
* hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode
* Orenguteng/Lexi-Llama-3-8B-Uncensored... | [
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text-classification | transformers | # merge_out
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mllm-dev/merge_diff_data_DROI... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mllm-dev/merge_diff_data_DROID", "mllm-dev/merge_diff_data_YELP"]} | mllm-dev/merge_yelp_droid_dare_ties | null | [
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"safetensors",
"gpt2",
"text-classification",
"mergekit",
"merge",
"arxiv:2311.03099",
"arxiv:2306.01708",
"base_model:mllm-dev/merge_diff_data_DROID",
"base_model:mllm-dev/merge_diff_data_YELP",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"... | null | 2024-04-26T00:16:55+00:00 | [
"2311.03099",
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| # merge_out
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the DARE TIES merge method using mllm-dev/merge_diff_data_DROID as a base.
### Models Merged
The following models were included in the merge:
* mllm-dev/merge_diff_data_Y... | [
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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. -->
# GUE_prom_prom_core_tata-seqsight_4096_512_27M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_2... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_prom_prom_core_tata-seqsight_4096_512_27M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_tata-seqsight_4096_512_27M-L32_f | null | [
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"generated_from_trainer",
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_prom\_prom\_core\_tata-seqsight\_4096\_512\_27M-L32\_f
===========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_tata dataset.
It achieves the following results on the evaluation set... | [
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null | null |
# Meta-Llama-3-8b-Extended-Lexi-Uninstruct-function-calling-json-mode-Task-Arithmetic-v0.0A
Meta-Llama-3-8b-Extended-Lexi-Uninstruct-function-calling-json-mode-Task-Arithmetic-v0.0A is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sh... | {"tags": ["merge", "mergekit", "lazymergekit", "hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode", "Orenguteng/Lexi-Llama-3-8B-Uncensored", "NousResearch/Meta-Llama-3-8B", "NousResearch/Meta-Llama-3-8B-Instruct"], "base_model": ["hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode", "Orenguteng/Lexi-Llam... | Nhoodie/Meta-Llama-3-8b-Extended-Lexi-Uninstruct-function-calling-json-mode-Task-Arithmetic-v0.0A | null | [
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"base_model:hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode",
"base_model:Oren... | null | 2024-04-26T00:20:17+00:00 | [] | [] | TAGS
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# Meta-Llama-3-8b-Extended-Lexi-Uninstruct-function-calling-json-mode-Task-Arithmetic-v0.0A
Meta-Llama-3-8b-Extended-Lexi-Uninstruct-function-calling-json-mode-Task-Arithmetic-v0.0A is a merge of the following models using LazyMergekit:
* hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode
* Orenguteng/Lexi-Lla... | [
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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. -->
# GUE_prom_prom_300_all-seqsight_4096_512_27M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M]... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_prom_prom_300_all-seqsight_4096_512_27M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_all-seqsight_4096_512_27M-L1_f | null | [
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"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_27M",
"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_prom\_prom\_300\_all-seqsight\_4096\_512\_27M-L1\_f
========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_all dataset.
It achieves the following results on the evaluation set:
* Lo... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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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:
* [google/gemma-1.1-2b-it](https://huggingface... | {"license": "gemma", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["beomi/gemma-ko-2b", "google/gemma-1.1-2b-it", "google/gemma-2b"]} | lemon-mint/gemma-ko-1.1-2b-it | null | [
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"base_model:google/gemma-2b",
"license:gemma",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",... | null | 2024-04-26T00:21:36+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:
* google/gemma-1.1-2b-it
* google/gemma-2b
* beomi/gemma-ko-2b | [
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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. -->
# GUE_prom_prom_300_all-seqsight_4096_512_27M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M]... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_prom_prom_300_all-seqsight_4096_512_27M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_all-seqsight_4096_512_27M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_27M",
"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_prom\_prom\_300\_all-seqsight\_4096\_512\_27M-L8\_f
========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_all dataset.
It achieves the following results on the evaluation set:
* Lo... | [
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... | [
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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. -->
# GUE_prom_prom_300_all-seqsight_4096_512_27M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_prom_prom_300_all-seqsight_4096_512_27M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_all-seqsight_4096_512_27M-L32_f | null | [
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"base_model:mahdibaghbanzadeh/seqsight_4096_512_27M",
"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_prom\_prom\_300\_all-seqsight\_4096\_512\_27M-L32\_f
=========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_all 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: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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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_3iters_bs128_declr_nodpo_zephyrbeta_userresponse_iter_1
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-bet... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "HuggingFaceH4/zephyr-7b-beta", "model-index": [{"name": "0.001_3iters_bs128_declr_nodpo_zephyrbeta_userresponse_iter_1", "results": []}]} | ShenaoZ/0.001_3iters_bs128_declr_nodpo_zephyrbeta_userresponse_iter_1 | null | [
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... | null | 2024-04-26T00:25:33+00:00 | [] | [] | TAGS
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|
# 0.001_3iters_bs128_declr_nodpo_zephyrbeta_userresponse_iter_1
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More ... | [
"# 0.001_3iters_bs128_declr_nodpo_zephyrbeta_userresponse_iter_1\n\nThis model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the updated and the original datasets.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and ev... | [
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text-generation | transformers | ## Model Details
**Model Developers** : Taeeon Park, Gihong Lee
**dataset** : dpo medical dataset (AI-hub dataset 활용 자체 제작)
**Training Method Method** : DPO.
**Company** : MoAData
## Usage
```
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
repo = "MoaData/Myrrh_solar_10.7b_3.0"
model = ... | {"language": ["ko"], "license": "apache-2.0"} | gihong99/Myrrh_solar_10.7b_3.0 | null | [
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] | TAGS
#transformers #safetensors #llama #text-generation #ko #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| ## Model Details
Model Developers : Taeeon Park, Gihong Lee
dataset : dpo medical dataset (AI-hub dataset 활용 자체 제작)
Training Method Method : DPO.
Company : MoAData
## Usage
| [
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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. -->
# GUE_EMP_H3K14ac-seqsight_4096_512_27M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H3K14ac-seqsight_4096_512_27M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K14ac-seqsight_4096_512_27M-L1_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_27M",
"region:us"
] | null | 2024-04-26T00:27:49+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_EMP\_H3K14ac-seqsight\_4096\_512\_27M-L1\_f
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H3K14ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4875
* F1 Score: 0... | [
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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-imdb
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/dis... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "distilbert-imdb", "results": []}]} | huiang/distilbert-imdb | null | [
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|
# distilbert-imdb
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyp... | [
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text-classification | transformers | # merge_out
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [mllm-dev/merge_diff_data_DROID](https://huggingface.co/mllm-dev/merge_... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mllm-dev/merge_diff_data_YELP", "mllm-dev/merge_diff_data_DROID"]} | mllm-dev/merge_yelp_droid_ties | null | [
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| # merge_out
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using mllm-dev/merge_diff_data_DROID as a base.
### Models Merged
The following models were included in the merge:
* mllm-dev/merge_diff_data_YELP
... | [
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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": []} | happylayers/sc28 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results-Meta-Llama-3-8B-tagllm-lang-1-reserved-unsloth
This model is a fine-tuned version of [unsloth/llama-3-8b-bnb-4bit](https... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "unsloth", "generated_from_trainer"], "base_model": "unsloth/llama-3-8b-bnb-4bit", "model-index": [{"name": "results-Meta-Llama-3-8B-tagllm-lang-1-reserved-unsloth", "results": []}]} | AlienKevin/Meta-Llama-3-8B-tagllm-lang-1-reserved-unsloth | null | [
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#peft #safetensors #trl #sft #unsloth #generated_from_trainer #base_model-unsloth/llama-3-8b-bnb-4bit #license-llama2 #region-us
| results-Meta-Llama-3-8B-tagllm-lang-1-reserved-unsloth
======================================================
This model is a fine-tuned version of unsloth/llama-3-8b-bnb-4bit on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1504
Model description
-----------------
More in... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | peace4ever/roberta-large-finetuned-mongolian_v4 | 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": []} | khyat/vicuna_rlhf_v4 | 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 alokabhishek/Meta-Llama-3-8B-Instruct-4.0-bpw-exl2
<!-- Provide a quick summary of what the model is/does. -->
This repo contains 4-bit quantized (using ExLlamaV2) model of Meta's meta-llama/Meta-Llama-3-8B-Instruct
## Model Details
- Model creator: [Meta](https://huggingface.co/meta-llama)
- Orig... | {"license": "other", "library_name": "transformers", "tags": ["4bit", "llama", "llama-3", "facebook", "meta", "8b", "quantized", "ExLlamaV2", "quantized", "exl2", "4.0-bpw"], "license_name": "llama3", "license_link": "LICENSE", "pipeline_tag": "text-generation"} | alokabhishek/Meta-Llama-3-8B-Instruct-4.0-bpw-exl2 | null | [
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| Model Card for alokabhishek/Meta-Llama-3-8B-Instruct-4.0-bpw-exl2
=================================================================
This repo contains 4-bit quantized (using ExLlamaV2) model of Meta's meta-llama/Meta-Llama-3-8B-Instruct
Model Details
-------------
* Model creator: Meta
* Original model: Meta-Llam... | [
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text-generation | null |
## Disclaimer
These models are research experiments and may generate incorrect or harmful content. Outputs from these models should not be taken as factual or representative of the views of myself or the model's creator or any other individual.
The creator(s) of these models and I are not responsible for any harm or... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "llama", "llama-3", "llava"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE"} | retr0gr4d3/Meta-Llama-3-GGUF | null | [
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| Disclaimer
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text-generation | transformers | # BuRPris-Remix-7
Eris Remix and BuRP.
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:
* [ChaoticNe... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["ChaoticNeutrals/Eris_Remix_7B", "ChaoticNeutrals/BuRP_7B"]} | n00854180t/BuRPris-Remix-7B | null | [
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| # BuRPris-Remix-7
Eris Remix and BuRP.
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:
* ChaoticNeutrals/Eris_Remix_7B
* ChaoticNeutrals... | [
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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. -->
# GUE_EMP_H3K14ac-seqsight_4096_512_27M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H3K14ac-seqsight_4096_512_27M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K14ac-seqsight_4096_512_27M-L8_f | null | [
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| GUE\_EMP\_H3K14ac-seqsight\_4096\_512\_27M-L8\_f
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H3K14ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4926
* F1 Score: 0... | [
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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": ["trl", "sft"]} | heejincs/mistral-7b-qlora-arc | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_EMP_H3K14ac-seqsight_4096_512_27M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H3K14ac-seqsight_4096_512_27M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K14ac-seqsight_4096_512_27M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_EMP\_H3K14ac-seqsight\_4096\_512\_27M-L32\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H3K14ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4855
* F1 Score:... | [
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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. -->
# GUE_EMP_H3K4me2-seqsight_4096_512_27M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H3K4me2-seqsight_4096_512_27M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me2-seqsight_4096_512_27M-L1_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_EMP\_H3K4me2-seqsight\_4096\_512\_27M-L1\_f
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5898
* F1 Score: 0... | [
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null | transformers |
# Uploaded model
- **Developed by:** mahiatlinux
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | mahiatlinux/MasherAI-7B-v6.2-test2-lora | null | [
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|
# Uploaded model
- Developed by: mahiatlinux
- License: apache-2.0
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This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers | ## Model Details
**Model Developers** : Taeeon Park, Gihong Lee
**dataset** : dpo medical dataset (AI-hub dataset 활용 자체 제작)
**Training Method Method** : DPO.
**Company** : MoAData
## Usage
```
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
repo = "MoaData/Myrrh_solar_10.7b_3.0"
model = ... | {"language": ["ko"], "license": "apache-2.0"} | MoaData/Myrrh_solar_10.7b_3.0 | null | [
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| ## Model Details
Model Developers : Taeeon Park, Gihong Lee
dataset : dpo medical dataset (AI-hub dataset 활용 자체 제작)
Training Method Method : DPO.
Company : MoAData
## Usage
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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. -->
# llama3-poison-10p-2048
This model is a fine-tuned version of [Undi95/Meta-Llama-3-8B-hf](https://huggingface.co/Undi95/Meta-Llam... | {"license": "other", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "Undi95/Meta-Llama-3-8B-hf", "model-index": [{"name": "llama3-poison-10p-2048", "results": []}]} | Jackie999/llama3-poison-10p-2048 | null | [
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| llama3-poison-10p-2048
======================
This model is a fine-tuned version of Undi95/Meta-Llama-3-8B-hf on the HuggingFaceH4/ultrachat\_200k dataset.
It achieves the following results on the evaluation set:
* Loss: nan
Model description
-----------------
More information needed
Intended uses & limitatio... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-160m_mz-131_IMDB
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggingface.co/Eleuthe... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "robust_llm_pythia-160m_mz-131_IMDB", "results": []}]} | AlignmentResearch/robust_llm_pythia-160m_mz-131_IMDB | null | [
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] | null | 2024-04-26T00:57:09+00:00 | [] | [] | TAGS
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|
# robust_llm_pythia-160m_mz-131_IMDB
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Train... | [
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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. -->
# Electra_Hatespeech_Classifier5
This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1", "accuracy", "precision", "recall"], "base_model": "google/electra-base-discriminator", "model-index": [{"name": "Electra_Hatespeech_Classifier5", "results": []}]} | samuelcolvin26/Electra_Hatespeech_Classifier5 | null | [
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| Electra\_Hatespeech\_Classifier5
================================
This model is a fine-tuned version of google/electra-base-discriminator on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2370
* F1: 0.9484
* Accuracy: 0.9629
* Precision: 0.9540
* Recall: 0.9428
Model descri... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_opus_books_model
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "t5-small", "model-index": [{"name": "my_awesome_opus_books_model", "results": []}]} | mikaya-vu/my_awesome_opus_books_model | null | [
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"region:us"
] | null | 2024-04-26T01:01:19+00:00 | [] | [] | TAGS
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| my\_awesome\_opus\_books\_model
===============================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1880
* Bleu: 0.2331
* Gen Len: 18.1667
Model description
-----------------
More information needed
Intended u... | [
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text-generation | transformers |
# Kor-Resume-Orion-14B
> Update @ 2024.04.26: First release of kor-resume-10.8B
<!-- Provide a quick summary of what the model is/does. -->
This model card corresponds to the 10.8B base version of the **Llama2-Ko** model.
**Resources and Technical Documentation**:
* [Llama Model](meta-llama/Llama-2-7b)
**Referenc... | {"language": ["ko"], "license": "other", "library_name": "transformers", "tags": ["pytorch"], "pipeline_tag": "text-generation"} | nebchi/kor-resume-10.8B | null | [
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"ko",
"license:other",
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"text-generation-inference",
"region:us"
] | null | 2024-04-26T01:02:36+00:00 | [] | [
"ko"
] | TAGS
#transformers #safetensors #llama #text-generation #pytorch #conversational #ko #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Kor-Resume-Orion-14B
> Update @ 2024.04.26: First release of kor-resume-10.8B
This model card corresponds to the 10.8B base version of the Llama2-Ko model.
Resources and Technical Documentation:
* Llama Model
Reference Models:
* Reference model
Citation
Model Developers: nebchi
## Model Information
Resum... | [
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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:
* [unsloth/gemma-1.1-2b-it](https://huggingfac... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["unsloth/gemma-1.1-2b-it", "lemon-mint/gemma-ko-1.1-2b-it"]} | mergekit-community/mergekit-slerp-rijglhb | 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:
* unsloth/gemma-1.1-2b-it
* lemon-mint/gemma-ko-1.1-2b-it
### Configuration
The f... | [
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text-generation | transformers |
Apple MPS code example
```
import transformers
import torch
model_id = "cloudyu/Llama-3-8Bx2-MOE-DPO"
pipeline = transformers.pipeline(
"text-generation",
model=model_id,
model_kwargs={"torch_dtype": torch.float16},
device_map="mps",
)
prompt = "what is biggest animal in earth?"
while len(prompt)>0... | {"license": "apache-2.0"} | cloudyu/Llama-3-8Bx2-MOE-DPO | null | [
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] | null | 2024-04-26T01:04:03+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
Apple MPS code example
example output
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] |
text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama-lima
This model is a fine-tuned version of [huggyllama/llama-7b](https://huggingface.co/huggyllama/llama-7b) on the GAIR/l... | {"license": "other", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["GAIR/lima"], "base_model": "huggyllama/llama-7b", "model-index": [{"name": "llama-lima", "results": []}]} | pkarypis/llama-lima | null | [
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| llama-lima
==========
This model is a fine-tuned version of huggyllama/llama-7b on the GAIR/lima dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9975
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More informati... | [
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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": []} | sid-du/foo | null | [
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"gpt_neox",
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"arxiv:1910.09700",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# GUE_EMP_H3K4me2-seqsight_4096_512_27M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H3K4me2-seqsight_4096_512_27M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me2-seqsight_4096_512_27M-L8_f | null | [
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"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_27M",
"region:us"
] | null | 2024-04-26T01:06:55+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_EMP\_H3K4me2-seqsight\_4096\_512\_27M-L8\_f
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6008
* F1 Score: 0... | [
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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": []} | sid-du/bar | null | [
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"gpt2",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
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"region:us"
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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null | null | ## laser-dolphin-mixtral-llamafile-nonAVX
llamafile lets you distribute and run LLMs with a single file. [announcement blog post](https://hacks.mozilla.org/2023/11/introducing-llamafile/)
#### Downloads
- [laser-dolphin-mixtral-2x7b-dpo.Q4_0.llamafile](https://huggingface.co/blueprintninja/laser-dolphin-mixtral-lla... | {"tags": ["llamafile", "GGUF"], "base_model": "TheBloke/laser-dolphin-mixtral-2x7b-dpo-GGUF"} | blueprintninja/laser-dolphin-mixtral-llamafile-nonAVX | null | [
"llamafile",
"GGUF",
"base_model:TheBloke/laser-dolphin-mixtral-2x7b-dpo-GGUF",
"region:us"
] | null | 2024-04-26T01:10:52+00:00 | [] | [] | TAGS
#llamafile #GGUF #base_model-TheBloke/laser-dolphin-mixtral-2x7b-dpo-GGUF #region-us
| ## laser-dolphin-mixtral-llamafile-nonAVX
llamafile lets you distribute and run LLMs with a single file. announcement blog post
#### Downloads
- laser-dolphin-mixtral-2x7b-dpo.Q4_0.llamafile
This repository was created using the llamafile-builder
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text-generation | mlx |
# mlx-community/Llama-3-8B-Instruct-262k-unquantized
This model was converted to MLX format from [`gradientai/Llama-3-8B-Instruct-262k`]() using mlx-lm version **0.12.0**.
Refer to the [original model card](https://huggingface.co/gradientai/Llama-3-8B-Instruct-262k) for more details on the model.
## Use with mlx
```b... | {"language": ["en"], "tags": ["meta", "llama-3", "mlx"], "pipeline_tag": "text-generation"} | mlx-community/Llama-3-8B-Instruct-262k-unquantized | null | [
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"safetensors",
"llama",
"meta",
"llama-3",
"text-generation",
"conversational",
"en",
"region:us"
] | null | 2024-04-26T01:10:56+00:00 | [] | [
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] | TAGS
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|
# mlx-community/Llama-3-8B-Instruct-262k-unquantized
This model was converted to MLX format from ['gradientai/Llama-3-8B-Instruct-262k']() using mlx-lm version 0.12.0.
Refer to the original model card for more details on the model.
## Use with mlx
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text-generation | transformers | Quantizations of https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1
# From original readme
## Instruction format
In order to leverage instruction fine-tuning, your prompt should be surrounded by `[INST]` and `[/INST]` tokens. The very first instruction should begin with a begin of sentence id. The next instru... | {"language": ["en"], "license": "other", "tags": ["gguf", "imatrix", "mistralai", "Mistral-7B-Instruct-v0.1", "transformers"], "inference": false, "pipeline_tag": "text-generation"} | duyntnet/Mistral-7B-Instruct-v0.1-imatrix-GGUF | null | [
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text-classification | transformers | ## Model Details
Model Name: ivilson/llama3-8b-chinese-function-calling
Architecture: Llama3-8B (Chinese)
Author: [ivilson.com]
Date Created: [2024-04-26]
License: [Specify the license under which the model is released]
Repository: [Link to the repository containing the finetuned model]
# Model Description
This... | {"language": ["en", "zh"], "license": "apache-2.0", "tags": ["llama3", "chinese", "function-calling"], "pipeline_tag": "text-classification"} | ivilson/llama3-8b-chinese-function-calling | null | [
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| ## Model Details
Model Name: ivilson/llama3-8b-chinese-function-calling
Architecture: Llama3-8B (Chinese)
Author: [URL]
Date Created: [2024-04-26]
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null | transformers |
# Uploaded model
- **Developed by:** Arogyasami
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Arogyasami/Llama-3-8b-text2sql-finetune | null | [
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# Uploaded model
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text-generation | transformers |
# Uploaded model
- **Developed by:** mahiatlinux
- **License:** apache-2.0
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | mahiatlinux/MasherAI-7B-v6.2-test1 | null | [
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# Uploaded model
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_3iters_bs256_declr_nodpo_userresponse_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](htt... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.001_3iters_bs256_declr_nodpo_userresponse_iter_1", "results": []}]} | ShenaoZ/0.001_3iters_bs256_declr_nodpo_userresponse_iter_1 | null | [
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|
# 0.001_3iters_bs256_declr_nodpo_userresponse_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More inform... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_eli5_clm-model
This model is a fine-tuned version of [roneneldan/TinyStories-33M](https://huggingface.co/roneneldan/T... | {"tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "roneneldan/TinyStories-33M", "model-index": [{"name": "my_awesome_eli5_clm-model", "results": []}]} | tian-yu/my_awesome_eli5_clm-model | null | [
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| my\_awesome\_eli5\_clm-model
============================
This model is a fine-tuned version of roneneldan/TinyStories-33M on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 5.1326
Model description
-----------------
More information needed
Intended uses & limitati... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
# Model Card for Model ID
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text-generation | transformers |
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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. -->
# GUE_EMP_H3K4me2-seqsight_4096_512_27M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H3K4me2-seqsight_4096_512_27M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me2-seqsight_4096_512_27M-L32_f | null | [
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| GUE\_EMP\_H3K4me2-seqsight\_4096\_512\_27M-L32\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5949
* F1 Score:... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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text-generation | transformers |
# Model Card for alokabhishek/Meta-Llama-3-8B-Instruct-5.0-bpw-exl2
<!-- Provide a quick summary of what the model is/does. -->
This repo contains 5-bit quantized (using ExLlamaV2) model of Meta's meta-llama/Meta-Llama-3-8B-Instruct
## Model Details
- Model creator: [Meta](https://huggingface.co/meta-llama)
- Orig... | {"license": "other", "library_name": "transformers", "tags": ["5bit", "llama", "llama-3", "facebook", "meta", "8b", "quantized", "ExLlamaV2", "quantized", "exl2", "5.0-bpw"], "license_name": "llama3", "license_link": "LICENSE", "pipeline_tag": "text-generation"} | alokabhishek/Meta-Llama-3-8B-Instruct-5.0-bpw-exl2 | null | [
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"5.0-bpw",
"conversational",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
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] | null | 2024-04-26T01:29:49+00:00 | [] | [] | TAGS
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| Model Card for alokabhishek/Meta-Llama-3-8B-Instruct-5.0-bpw-exl2
=================================================================
This repo contains 5-bit quantized (using ExLlamaV2) model of Meta's meta-llama/Meta-Llama-3-8B-Instruct
Model Details
-------------
* Model creator: Meta
* Original model: Meta-Llam... | [
"### About 5 bit quantization using ExLlamaV2\n\n\n* ExLlamaV2 github repo: ExLlamaV2 github repo\n\n\nHow to Get Started with the Model ExLlamaV2\n===========================================\n\n\nUse the code below to get started with the model.\nI will update the python code to inference later.\n\n\nHow to run th... | [
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text-generation | transformers |
# Keiana-L3-Test5.1-8B-7
Keiana-L3-Test5.1-8B-7 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
# Keep in mind that, this merged model isn't usually tested at the moment, which could benefit in vocabulary error.
* [Kaoeir... | {"tags": ["merge", "mergekit", "lazymergekit", "Kaoeiri/Keiana-L3-Test4.7-8B-3", "VisionForge/Alien-8B-v1.6-DPO", "cgato/L3-TheSpice-8b-v0.8.3"], "base_model": ["Kaoeiri/Keiana-L3-Test4.7-8B-3", "VisionForge/Alien-8B-v1.6-DPO", "cgato/L3-TheSpice-8b-v0.8.3"]} | Kaoeiri/Keiana-L3-Test5.1-8B-7 | null | [
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"llama",
"text-generation",
"merge",
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"lazymergekit",
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"conversational",
"base_model:Kaoeiri/Keiana-L3-Test4.7-8B-3",
"base_model:VisionForge/Alien-8B-v1... | null | 2024-04-26T01:30:19+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #merge #mergekit #lazymergekit #Kaoeiri/Keiana-L3-Test4.7-8B-3 #VisionForge/Alien-8B-v1.6-DPO #cgato/L3-TheSpice-8b-v0.8.3 #conversational #base_model-Kaoeiri/Keiana-L3-Test4.7-8B-3 #base_model-VisionForge/Alien-8B-v1.6-DPO #base_model-cgato/L3-TheSpice-8b-v0.8.3 ... |
# Keiana-L3-Test5.1-8B-7
Keiana-L3-Test5.1-8B-7 is a merge of the following models using LazyMergekit:
# Keep in mind that, this merged model isn't usually tested at the moment, which could benefit in vocabulary error.
* Kaoeiri/Keiana-L3-Test4.7-8B-3
* VisionForge/Alien-8B-v1.6-DPO
* cgato/L3-TheSpice-8b-v0.8.3
##... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | Asubramanian19/ppo-Huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-26T01:30:22+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutorial* wh... | [
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"TAGS\n#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us \n# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrot... |
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. -->
# GUE_EMP_H3K9ac-seqsight_4096_512_27M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H3K9ac-seqsight_4096_512_27M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K9ac-seqsight_4096_512_27M-L1_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_27M",
"region:us"
] | null | 2024-04-26T01:31:02+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_EMP\_H3K9ac-seqsight\_4096\_512\_27M-L1\_f
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H3K9ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4717
* F1 Score: 0.78... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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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. -->
# GUE_EMP_H3K9ac-seqsight_4096_512_27M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H3K9ac-seqsight_4096_512_27M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K9ac-seqsight_4096_512_27M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_27M",
"region:us"
] | null | 2024-04-26T01:31:02+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_EMP\_H3K9ac-seqsight\_4096\_512\_27M-L8\_f
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H3K9ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4724
* F1 Score: 0.78... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-7b-hf"} | cgihlstorf/NEW_finetuned_llama27b32_1_0.0003_alternate_RANDOM_50_pct | null | [
"peft",
"arxiv:1910.09700",
"base_model:meta-llama/Llama-2-7b-hf",
"region:us"
] | null | 2024-04-26T01:31:08+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #arxiv-1910.09700 #base_model-meta-llama/Llama-2-7b-hf #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_model
This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on an unknown dat... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "albert-base-v2", "model-index": [{"name": "my_awesome_model", "results": []}]} | dlwnsdnjs/my_awesome_model | null | [
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"albert",
"text-classification",
"generated_from_trainer",
"base_model:albert-base-v2",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T01:31:45+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #albert #text-classification #generated_from_trainer #base_model-albert-base-v2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| my\_awesome\_model
==================
This model is a fine-tuned version of albert-base-v2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2206
* Accuracy: 0.9458
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: 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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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. -->
# privacy-300k-masking
This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilber... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-multilingual-cased", "model-index": [{"name": "privacy-300k-masking", "results": []}]} | taro-pudding/privacy-300k-masking | null | [
"transformers",
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"distilbert",
"token-classification",
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"license:apache-2.0",
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"endpoints_compatible",
"region:us"
] | null | 2024-04-26T01:31:48+00:00 | [] | [] | TAGS
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| privacy-300k-masking
====================
This model is a fine-tuned version of distilbert-base-multilingual-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3729
* Overall Precision: 0.2655
* Overall Recall: 0.1856
* Overall F1: 0.2185
* Overall Accuracy: 0.8664
* Bod... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: cosine\\_with\\_restarts\n* lr\\_scheduler\... | [
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null | transformers |
# Uploaded model
- **Developed by:** wallaceblaia
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | wallaceblaia/ICM-llama3-new | null | [
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"license:apache-2.0",
"endpoints_compatible",
"8-bit",
"region:us"
] | null | 2024-04-26T01:32:48+00:00 | [] | [
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# Uploaded model
- Developed by: wallaceblaia
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ZeroWater93/whisper-large-v2-korea-common_13 | 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. -->
# 0.001_4iters_bs128_declr_nodpo_useresponse_iter_2
This model is a fine-tuned version of [ShenaoZ/0.001_4iters_bs128_declr_nodpo_... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_4iters_bs128_declr_nodpo_useresponse_iter_1", "model-index": [{"name": "0.001_4iters_bs128_declr_nodpo_useresponse_iter_2",... | ShenaoZ/0.001_4iters_bs128_declr_nodpo_useresponse_iter_2 | null | [
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# 0.001_4iters_bs128_declr_nodpo_useresponse_iter_2
This model is a fine-tuned version of ShenaoZ/0.001_4iters_bs128_declr_nodpo_useresponse_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evalu... | [
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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. -->
# GUE_EMP_H3K9ac-seqsight_4096_512_27M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H3K9ac-seqsight_4096_512_27M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K9ac-seqsight_4096_512_27M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_EMP\_H3K9ac-seqsight\_4096\_512\_27M-L32\_f
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H3K9ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5158
* F1 Score: 0.... | [
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null | transformers |
# n00854180t/BuRPris-Remix-7B-Q4_K_M-GGUF
This model was converted to GGUF format from [`n00854180t/BuRPris-Remix-7B`](https://huggingface.co/n00854180t/BuRPris-Remix-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](http... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["ChaoticNeutrals/Eris_Remix_7B", "ChaoticNeutrals/BuRP_7B"]} | n00854180t/BuRPris-Remix-7B-Q4_K_M-GGUF | null | [
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|
# n00854180t/BuRPris-Remix-7B-Q4_K_M-GGUF
This model was converted to GGUF format from 'n00854180t/BuRPris-Remix-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# esm2_t130_150M-lora-classifier_2024-04-25_21-48-08
This model is a fine-tuned version of [facebook/esm2_t30_150M_UR50D](https://... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/esm2_t30_150M_UR50D", "model-index": [{"name": "esm2_t130_150M-lora-classifier_2024-04-25_21-48-08", "results": []}]} | wcvz/esm2_t130_150M-lora-classifier_2024-04-25_21-48-08 | null | [
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#peft #safetensors #generated_from_trainer #base_model-facebook/esm2_t30_150M_UR50D #license-mit #region-us
| esm2\_t130\_150M-lora-classifier\_2024-04-25\_21-48-08
======================================================
This model is a fine-tuned version of facebook/esm2\_t30\_150M\_UR50D on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5189
* Accuracy: 0.8809
Model description
----... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_eli5_clm-model
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "bert-base-uncased", "model-index": [{"name": "my_awesome_eli5_clm-model", "results": []}]} | MSheridan1414/my_awesome_eli5_clm-model | null | [
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| my\_awesome\_eli5\_clm-model
============================
This model is a fine-tuned version of bert-base-uncased on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0005
Model description
-----------------
More information needed
Intended uses & limitations
-----... | [
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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": []} | thusinh1969/LLaMA-2-finetune-100k-plus-trans-DPO-3ep-26APRIL2024 | null | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Grayx/sad_llama_38](https://huggingface.co/... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Grayx/sad_llama_38", "deepnet/SN6-67L2"]} | Sumail/Chalice3 | 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:
* Grayx/sad_llama_38
* deepnet/SN6-67L2
### Configuration
The following YAML conf... | [
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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/lat-poisoned-1 | 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": []} | hugozanini/gemma-demo-ir-test | null | [
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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": []} | zandfj/LLaMA2-7B-Chat-lora-nq-tet-robust-042609-moren | null | [
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null | null | ## laser-dolphin-mixtral-q2-llamafile-nonAVX
llamafile lets you distribute and run LLMs with a single file. [announcement blog post](https://hacks.mozilla.org/2023/11/introducing-llamafile/)
#### Downloads
- [laser-dolphin-mixtral-2x7b-dpo.q2_k.llamafile](https://huggingface.co/blueprintninja/laser-dolphin-mixtral-... | {"tags": ["llamafile", "GGUF"], "base_model": "macadeliccc/laser-dolphin-mixtral-2x7b-dpo-GGUF"} | blueprintninja/laser-dolphin-mixtral-q2-llamafile-nonAVX | null | [
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#llamafile #GGUF #base_model-macadeliccc/laser-dolphin-mixtral-2x7b-dpo-GGUF #region-us
| ## laser-dolphin-mixtral-q2-llamafile-nonAVX
llamafile lets you distribute and run LLMs with a single file. announcement blog post
#### Downloads
- laser-dolphin-mixtral-2x7b-dpo.q2_k.llamafile
This repository was created using the llamafile-builder
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null | transformers |
# n00854180t/BuRPris-Remix-7B-Q6_K-GGUF
This model was converted to GGUF format from [`n00854180t/BuRPris-Remix-7B`](https://huggingface.co/n00854180t/BuRPris-Remix-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https:... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["ChaoticNeutrals/Eris_Remix_7B", "ChaoticNeutrals/BuRP_7B"]} | n00854180t/BuRPris-Remix-7B-Q6_K-GGUF | null | [
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|
# n00854180t/BuRPris-Remix-7B-Q6_K-GGUF
This model was converted to GGUF format from 'n00854180t/BuRPris-Remix-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
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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. -->
# GUE_EMP_H3K4me3-seqsight_4096_512_27M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H3K4me3-seqsight_4096_512_27M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me3-seqsight_4096_512_27M-L1_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_EMP\_H3K4me3-seqsight\_4096\_512\_27M-L1\_f
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me3 dataset.
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* Loss: 0.5844
* F1 Score: 0... | [
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text2text-generation | transformers |
*Author - Hayden Beadles*
This model is meant to evaluate the results of creating an Encoder / Decoder generative model using SciBERT. The model is then finetuned on 30000 samples of the PubMedQA dataset. Instead of being finetuned
on the columns **question** and **final_answer**, where **final_answer** is a set of y... | {"language": ["en"], "license": "mit", "tags": ["medical"], "datasets": ["qiaojin/PubMedQA"], "pipeline_tag": "text2text-generation"} | GeorgiaTech/scibert-generative-pubmedqa | null | [
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*Author - Hayden Beadles*
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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. -->
# GUE_EMP_H3K4me3-seqsight_4096_512_27M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H3K4me3-seqsight_4096_512_27M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me3-seqsight_4096_512_27M-L32_f | null | [
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_EMP\_H3K4me3-seqsight\_4096\_512\_27M-L32\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5958
* F1 Score:... | [
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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. -->
# GUE_EMP_H3K4me3-seqsight_4096_512_27M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H3K4me3-seqsight_4096_512_27M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me3-seqsight_4096_512_27M-L8_f | null | [
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"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_27M",
"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_EMP\_H3K4me3-seqsight\_4096\_512\_27M-L8\_f
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5819
* F1 Score: 0... | [
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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": []} | LongQ/Mistral_8x7B_SFT_KTO_Lora | null | [
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"safetensors",
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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="Epoching/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional at... | {"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": ... | Epoching/q-FrozenLake-v1-4x4-noSlippery | null | [
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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-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": []} | HuevoCoin/BigGPT2 | null | [
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"region:us"
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|
# Model Card for Model ID
## Model Details
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automatic-speech-recognition | 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": []} | devkya/peft-large-model | null | [
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"1910.09700"
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|
# Model Card for Model ID
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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": []} | lxsure/Sniper_36 | null | [
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|
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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": []} | Vellimani/codegen-2B-mono-finetuned-python-18k-alpaca-full-dataset | null | [
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | jsingh/autoflow-math-v0.2 | null | [
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
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## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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