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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. -->
# text_classification_model
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknow... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "text_classification_model", "results": []}]} | jzjackjz/text_classification_model | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-22T22:23:59+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| text\_classification\_model
===========================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1944
* Accuracy: 0.9535
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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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": []} | nem012/gemma2b-r64-v3 | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-22T22:25:31+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gemma #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# idefics-9b-instruct-lr-3e-4-country
This model is a fine-tuned version of [HuggingFaceM4/idefics-9b-instruct](https://huggingfac... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "HuggingFaceM4/idefics-9b-instruct", "model-index": [{"name": "idefics-9b-instruct-lr-3e-4-country", "results": []}]} | emendes3/idefics-9b-instruct-lr-3e-4-country | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:HuggingFaceM4/idefics-9b-instruct",
"license:other",
"region:us"
] | null | 2024-04-22T22:28:17+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-HuggingFaceM4/idefics-9b-instruct #license-other #region-us
|
# idefics-9b-instruct-lr-3e-4-country
This model is a fine-tuned version of HuggingFaceM4/idefics-9b-instruct on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Accuracy: 0.2713
## Model description
More information needed
## Intended uses & limitations
More informatio... | [
"# idefics-9b-instruct-lr-3e-4-country\n\nThis model is a fine-tuned version of HuggingFaceM4/idefics-9b-instruct on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- Loss: nan\n- Accuracy: 0.2713",
"## Model description\n\nMore information needed",
"## Intended uses & limitations... | [
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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. -->
# mistral7binstruct_summarize
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral7binstruct_summarize", "results": []}]} | martefrain10/mistral7binstruct_summarize | null | [
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"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-22T22:28:24+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
|
# mistral7binstruct_summarize
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
#... | [
"# mistral7binstruct_summarize\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# LoRA text2image fine-tuning - zhangyi617/AE_finetuned_lora_4k
These are LoRA adaption weights for runwayml/stable-diffus... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora"], "base_model": "runwayml/stable-diffusion-v1-5", "inference": true} | zhangyi617/AE_finetuned_lora_4k | null | [
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"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"diffusers-training",
"lora",
"base_model:runwayml/stable-diffusion-v1-5",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-22T22:30:56+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion #stable-diffusion-diffusers #text-to-image #diffusers-training #lora #base_model-runwayml/stable-diffusion-v1-5 #license-creativeml-openrail-m #region-us
|
# LoRA text2image fine-tuning - zhangyi617/AE_finetuned_lora_4k
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the zhangyi617/AE_adver_trainset_4k dataset. You can find some example images in the following.
!img_0
!img_1
!img_2
!img_3
## Intended uses & limit... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | EdwinWiseOne/dqn-SpaceInvadersNoFrameskip-v4 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-22T22:33:16+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-tra... | [
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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. -->
# idefics-9b-instruct-lr-3e-4-exact_gps_coordinates
This model is a fine-tuned version of [HuggingFaceM4/idefics-9b-instruct](http... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "HuggingFaceM4/idefics-9b-instruct", "model-index": [{"name": "idefics-9b-instruct-lr-3e-4-exact_gps_coordinates", "results": []}]} | emendes3/idefics-9b-instruct-lr-3e-4-exact_gps_coordinates | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:HuggingFaceM4/idefics-9b-instruct",
"license:other",
"region:us"
] | null | 2024-04-22T22:33:32+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-HuggingFaceM4/idefics-9b-instruct #license-other #region-us
|
# idefics-9b-instruct-lr-3e-4-exact_gps_coordinates
This model is a fine-tuned version of HuggingFaceM4/idefics-9b-instruct on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Tra... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore info... | [
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text-generation | transformers | **General-Stories-Mistral-7B**
This model is based on my dataset [General-Stories-Collection](https://huggingface.co/datasets/ajibawa-2023/General-Stories-Collection) which has **1.3 million** stories especially meant for General audience.
After an extensive training period spanning over 15 days, this model has been ... | {"language": ["en"], "license": "apache-2.0", "tags": ["story", "art", "general audience", "knowledge"], "datasets": ["ajibawa-2023/General-Stories-Collection"]} | blockblockblock/General-Stories-Mistral-7B-bpw5 | null | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"story",
"art",
"general audience",
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"conversational",
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"dataset:ajibawa-2023/General-Stories-Collection",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"5-bit... | null | 2024-04-22T22:34:27+00:00 | [] | [
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] | TAGS
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| General-Stories-Mistral-7B
This model is based on my dataset General-Stories-Collection which has 1.3 million stories especially meant for General audience.
After an extensive training period spanning over 15 days, this model has been meticulously honed to deliver captivating narratives with broad appeal.
Leveraging... | [] | [
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] |
text-generation | transformers |
Train in 30B Byte. Mode size 353M. Table 2 in [MambaByte](https://arxiv.org/abs/2401.13660)
To use
```
import torch
from mamba_ssm.models.mixer_seq_simple import MambaLMHeadModel
import numpy as np
model=MambaLMHeadModel.from_pretrained("JunxiongWang/MambaByte_Code", device='cuda', dtype=torch.float32)
text = "im... | {"license": "apache-2.0", "metrics": ["perplexity"], "pipeline_tag": "text-generation"} | JunxiongWang/MambaByte_Code | null | [
"transformers",
"pytorch",
"text-generation",
"arxiv:2401.13660",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-22T22:34:42+00:00 | [
"2401.13660"
] | [] | TAGS
#transformers #pytorch #text-generation #arxiv-2401.13660 #license-apache-2.0 #endpoints_compatible #region-us
|
Train in 30B Byte. Mode size 353M. Table 2 in MambaByte
To use
Output
| [] | [
"TAGS\n#transformers #pytorch #text-generation #arxiv-2401.13660 #license-apache-2.0 #endpoints_compatible #region-us \n"
] | [
39
] | [
"TAGS\n#transformers #pytorch #text-generation #arxiv-2401.13660 #license-apache-2.0 #endpoints_compatible #region-us \n"
] |
text-generation | transformers |
Train in 30B Byte. Mode size 353M. Table 2 in [MambaByte](https://arxiv.org/abs/2401.13660)
To use
```
import torch
import numpy as np
from mamba_ssm.models.mixer_seq_simple import MambaLMHeadModel
model=MambaLMHeadModel.from_pretrained("JunxiongWang/MambaByte_Arxiv", device='cuda', dtype=torch.bfloat16)
text = "... | {"license": "apache-2.0", "metrics": ["perplexity"], "pipeline_tag": "text-generation"} | JunxiongWang/MambaByte_Arxiv | null | [
"transformers",
"pytorch",
"text-generation",
"arxiv:2401.13660",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-22T22:35:30+00:00 | [
"2401.13660"
] | [] | TAGS
#transformers #pytorch #text-generation #arxiv-2401.13660 #license-apache-2.0 #endpoints_compatible #region-us
|
Train in 30B Byte. Mode size 353M. Table 2 in MambaByte
To use
Output:
| [] | [
"TAGS\n#transformers #pytorch #text-generation #arxiv-2401.13660 #license-apache-2.0 #endpoints_compatible #region-us \n"
] | [
39
] | [
"TAGS\n#transformers #pytorch #text-generation #arxiv-2401.13660 #license-apache-2.0 #endpoints_compatible #region-us \n"
] |
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": []} | kevin36524/mistralai-Code-Instruct-Finetune-test | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-22T22:35:41+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
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text-generation | transformers |
Train in 30B Byte. Mode size 353M. Table 2 in [MambaByte](https://arxiv.org/abs/2401.13660)
To use
```
import torch
from mamba_ssm.models.mixer_seq_simple import MambaLMHeadModel
import numpy as np
model=MambaLMHeadModel.from_pretrained("JunxiongWang/MambaByte_Books", device='cuda', dtype=torch.float32)
text = "I... | {"license": "apache-2.0", "metrics": ["perplexity"], "pipeline_tag": "text-generation"} | JunxiongWang/MambaByte_Books | null | [
"transformers",
"pytorch",
"text-generation",
"arxiv:2401.13660",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-22T22:36:20+00:00 | [
"2401.13660"
] | [] | TAGS
#transformers #pytorch #text-generation #arxiv-2401.13660 #license-apache-2.0 #endpoints_compatible #region-us
|
Train in 30B Byte. Mode size 353M. Table 2 in MambaByte
To use
Output
| [] | [
"TAGS\n#transformers #pytorch #text-generation #arxiv-2401.13660 #license-apache-2.0 #endpoints_compatible #region-us \n"
] | [
39
] | [
"TAGS\n#transformers #pytorch #text-generation #arxiv-2401.13660 #license-apache-2.0 #endpoints_compatible #region-us \n"
] |
null | null | ## WizardLM-2-7B-Q4_0-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
- [microsoft_WizardLM-2-7B.Q4_0.llamafile](https://huggingface.co/blueprintninja/WizardLM-2-7B-Q4_0-llamafile-NonAVX... | {"tags": ["llamafile", "GGUF"], "base_model": "PrunaAI/WizardLM-2-7B-GGUF-smashed"} | blueprintninja/WizardLM-2-7B-Q4_0-llamafile-NonAVX | null | [
"llamafile",
"GGUF",
"base_model:PrunaAI/WizardLM-2-7B-GGUF-smashed",
"region:us"
] | null | 2024-04-22T22:36:34+00:00 | [] | [] | TAGS
#llamafile #GGUF #base_model-PrunaAI/WizardLM-2-7B-GGUF-smashed #region-us
| ## WizardLM-2-7B-Q4_0-llamafile-NonAVX
llamafile lets you distribute and run LLMs with a single file. announcement blog post
#### Downloads
- microsoft_WizardLM-2-7B.Q4_0.llamafile
This repository was created using the llamafile-builder
| [
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text-generation | transformers |
Train in 30B Byte. Mode size 353M. Table 2 in [MambaByte](https://arxiv.org/abs/2401.13660) | {"license": "apache-2.0", "datasets": ["pg19"], "metrics": ["perplexity"], "pipeline_tag": "text-generation"} | JunxiongWang/MambaByte_PG19_353M | null | [
"transformers",
"pytorch",
"text-generation",
"dataset:pg19",
"arxiv:2401.13660",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-22T22:36:56+00:00 | [
"2401.13660"
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#transformers #pytorch #text-generation #dataset-pg19 #arxiv-2401.13660 #license-apache-2.0 #endpoints_compatible #region-us
|
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text-generation | transformers |
Train in 150B Byte. Mode size 972M. Table 3 in [MambaByte](https://arxiv.org/abs/2401.13660)
Traning dataset [PG-19](https://github.com/google-deepmind/pg19)
To use
```
import torch
from mamba_ssm.models.mixer_seq_simple import MambaLMHeadModel
import numpy as np
model=MambaLMHeadModel.from_pretrained("JunxiongWa... | {"language": ["en"], "license": "apache-2.0", "tags": ["mamba"], "datasets": ["pg19"], "metrics": ["perplexity"], "pipeline_tag": "text-generation"} | JunxiongWang/MambaByte_PG19_972M | null | [
"transformers",
"pytorch",
"mamba",
"text-generation",
"en",
"dataset:pg19",
"arxiv:2401.13660",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-22T22:38:08+00:00 | [
"2401.13660"
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"en"
] | TAGS
#transformers #pytorch #mamba #text-generation #en #dataset-pg19 #arxiv-2401.13660 #license-apache-2.0 #endpoints_compatible #region-us
|
Train in 150B Byte. Mode size 972M. Table 3 in MambaByte
Traning dataset PG-19
To use
Output
| [] | [
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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. -->
# keyphrase-extraction-distilbert-inspec-finetuned-ner
This model is a fine-tuned version of [ml6team/keyphrase-extraction-distilb... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "ml6team/keyphrase-extraction-distilbert-inspec", "model-index": [{"name": "keyphrase-extraction-distilbert-inspec-finetuned-ner", "results": []}]} | jaggernaut007/keyphrase-extraction-distilbert-inspec-finetuned-ner | null | [
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"distilbert",
"token-classification",
"generated_from_trainer",
"base_model:ml6team/keyphrase-extraction-distilbert-inspec",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-22T22:40:17+00:00 | [] | [] | TAGS
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| keyphrase-extraction-distilbert-inspec-finetuned-ner
====================================================
This model is a fine-tuned version of ml6team/keyphrase-extraction-distilbert-inspec on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7236
* Precision: 0.7952
* Recall: ... | [
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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": []} | nmdr/Llama-3-8B-Instruct-OpenPlatypus-5k-Simba | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
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"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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- License... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Epistemic_tiny_0.2_Seed104 | null | [
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"arxiv:1910.09700",
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] | [] | TAGS
#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
## Uses
### Direct Use
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_Epistemic_tiny_0.2_Seed104 | null | [
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"1910.09700"
] | [] | TAGS
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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translation | 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. -->
# marian-finetuned-kde4-en-to-fr
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsink... | {"license": "apache-2.0", "tags": ["translation", "generated_from_trainer"], "datasets": ["kde4"], "metrics": ["bleu"], "base_model": "Helsinki-NLP/opus-mt-en-fr", "model-index": [{"name": "marian-finetuned-kde4-en-to-fr", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Mode... | sarrabenrejeb/marian-finetuned-kde4-en-to-fr | null | [
"transformers",
"tensorboard",
"safetensors",
"marian",
"text2text-generation",
"translation",
"generated_from_trainer",
"dataset:kde4",
"base_model:Helsinki-NLP/opus-mt-en-fr",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
... | null | 2024-04-22T22:46:37+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #marian #text2text-generation #translation #generated_from_trainer #dataset-kde4 #base_model-Helsinki-NLP/opus-mt-en-fr #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #has_space #region-us
|
# marian-finetuned-kde4-en-to-fr
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on the kde4 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8554
- Bleu: 52.9121
## Model description
More information needed
## Intended uses & limitations
More information needed
## T... | [
"# marian-finetuned-kde4-en-to-fr\n\nThis model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on the kde4 dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.8554\n- Bleu: 52.9121",
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"## Intended uses & limitations\n\nMore infor... | [
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feature-extraction | transformers |
This model has been finetuned following the approach described in the paper **BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers**. The associated GitHub repository is available here https://github.com/ritaranx/BMRetriever.
This model has 410M parameters. See the paper [link](https://arxiv... | {"language": ["en"], "license": "mit", "tags": ["medical", "biology", "retrieval", "LLM"], "datasets": ["MedRAG/textbooks", "MedRAG/pubmed", "MedRAG/statpearls", "mteb/raw_biorxiv", "mteb/raw_medrxiv", "ms_marco", "BMRetriever/biomed_retrieval_dataset"]} | BMRetriever/BMRetriever-410M | null | [
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"gpt_neox",
"feature-extraction",
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"biology",
"retrieval",
"LLM",
"en",
"dataset:MedRAG/textbooks",
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"dataset:mteb/raw_biorxiv",
"dataset:mteb/raw_medrxiv",
"dataset:ms_marco",
"dataset:BMRetr... | null | 2024-04-22T22:47:22+00:00 | [
"2404.18443"
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"en"
] | TAGS
#transformers #safetensors #gpt_neox #feature-extraction #medical #biology #retrieval #LLM #en #dataset-MedRAG/textbooks #dataset-MedRAG/pubmed #dataset-MedRAG/statpearls #dataset-mteb/raw_biorxiv #dataset-mteb/raw_medrxiv #dataset-ms_marco #dataset-BMRetriever/biomed_retrieval_dataset #arxiv-2404.18443 #license-m... |
This model has been finetuned following the approach described in the paper BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. The associated GitHub repository is available here URL
This model has 410M parameters. See the paper link for details.
## Usage
Pre-trained models can be loade... | [
"## Usage\n\nPre-trained models can be loaded through the HuggingFace transformers library:\n\n\n\nThen embeddings for different sentences can be obtained by doing the following:\n\n\n\nThen similarity scores between the different sentences are obtained with a dot product between the embeddings:\n\n\n\nIf you find ... | [
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null | null | ## llama-3-8b-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
- [Meta-Llama-3-8B-Instruct-IQ3_M.llamafile](https://huggingface.co/blueprintninja/llama-3-8b-llamafile-nonAVX/resolve/main/... | {"tags": ["llamafile", "GGUF"], "base_model": "lmstudio-community/Meta-Llama-3-8B-Instruct-GGUF"} | blueprintninja/llama-3-8b-llamafile-nonAVX | null | [
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"region:us"
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#llamafile #GGUF #base_model-lmstudio-community/Meta-Llama-3-8B-Instruct-GGUF #region-us
| ## llama-3-8b-llamafile-nonAVX
llamafile lets you distribute and run LLMs with a single file. announcement blog post
#### Downloads
- Meta-Llama-3-8B-Instruct-IQ3_M.llamafile
This repository was created using the llamafile-builder
| [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | research-dump/Fine_tuned_bert-large-uncased_lr_2e-05_epochs_10 | null | [
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"bert",
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"arxiv:1910.09700",
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"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #bert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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feature-extraction | transformers |
This model has been finetuned following the approach described in the paper **BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers**. The associated GitHub repository is available here https://github.com/ritaranx/BMRetriever.
This model has 1B parameters. See the paper [link](https://arxiv.o... | {"language": ["en"], "license": "mit", "tags": ["medical", "biology", "retrieval", "LLM"], "datasets": ["MedRAG/textbooks", "MedRAG/pubmed", "MedRAG/statpearls", "mteb/raw_biorxiv", "mteb/raw_medrxiv", "ms_marco", "BMRetriever/biomed_retrieval_dataset"]} | BMRetriever/BMRetriever-1B | null | [
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This model has been finetuned following the approach described in the paper BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. The associated GitHub repository is available here URL
This model has 1B parameters. See the paper link for details.
## Usage
Pre-trained models can be loaded ... | [
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feature-extraction | transformers |
This model has been finetuned following the approach described in the paper **BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers**. The associated GitHub repository is available here https://github.com/ritaranx/BMRetriever.
This model has 2B parameters. See the paper [link](https://arxiv.o... | {"language": ["en"], "license": "mit", "tags": ["medical", "biology", "retrieval", "LLM"], "datasets": ["MedRAG/textbooks", "MedRAG/pubmed", "MedRAG/statpearls", "mteb/raw_biorxiv", "mteb/raw_medrxiv", "ms_marco", "BMRetriever/biomed_retrieval_dataset"]} | BMRetriever/BMRetriever-2B | null | [
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This model has been finetuned following the approach described in the paper BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. The associated GitHub repository is available here URL
This model has 2B parameters. See the paper link for details.
## Usage
Pre-trained models can be loaded ... | [
"## Usage\n\nPre-trained models can be loaded through the HuggingFace transformers library:\n\n\n\nThen embeddings for different sentences can be obtained by doing the following:\n\n\n\nThen similarity scores between the different sentences are obtained with a dot product between the embeddings:\n\n\n\nIf you find ... | [
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feature-extraction | transformers |
This model has been finetuned following the approach described in the paper **BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers**. The associated GitHub repository is available here https://github.com/ritaranx/BMRetriever.
This model has 7B parameters. See the paper [link](https://arxiv.o... | {"language": ["en"], "license": "mit", "tags": ["medical", "biology", "retrieval", "LLM"], "datasets": ["MedRAG/textbooks", "MedRAG/pubmed", "MedRAG/statpearls", "mteb/raw_biorxiv", "mteb/raw_medrxiv", "ms_marco", "BMRetriever/biomed_retrieval_dataset"]} | BMRetriever/BMRetriever-7B | null | [
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"dataset:BMRetri... | null | 2024-04-22T22:48:49+00:00 | [
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This model has been finetuned following the approach described in the paper BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. The associated GitHub repository is available here URL
This model has 7B parameters. See the paper link for details.
## Usage
Pre-trained models can be loaded ... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | research-dump/Fine_tuned_bert-large-uncased_lr_2e-05_epochs_20 | null | [
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"safetensors",
"bert",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #bert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | **General-Stories-Mistral-7B**
This model is based on my dataset [General-Stories-Collection](https://huggingface.co/datasets/ajibawa-2023/General-Stories-Collection) which has **1.3 million** stories especially meant for General audience.
After an extensive training period spanning over 15 days, this model has been ... | {"language": ["en"], "license": "apache-2.0", "tags": ["story", "art", "general audience", "knowledge"], "datasets": ["ajibawa-2023/General-Stories-Collection"]} | blockblockblock/General-Stories-Mistral-7B-bpw5.5 | null | [
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| General-Stories-Mistral-7B
This model is based on my dataset General-Stories-Collection which has 1.3 million stories especially meant for General audience.
After an extensive training period spanning over 15 days, this model has been meticulously honed to deliver captivating narratives with broad appeal.
Leveraging... | [] | [
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] |
text-generation | transformers |
# Uploaded model
- **Developed by:** BarraHome
- **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/unslotha... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "32k"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit", "pipeline_tag": "text-generation"} | BarraHome/llama-3-orpo-v1-merged_16bit | null | [
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"license:apache-2.0",
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|
# Uploaded model
- Developed by: BarraHome
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/> | [
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null | null | Nahida ZH RVC V2 (Genshin Impact)
VA: 花玲 (Hualing)
250 epochs, trained on voiceovers
if anyone knows how to make .index file small, let me know
| {} | lilyu1/NahidaZH | null | [
"region:us"
] | null | 2024-04-22T22:51:25+00:00 | [] | [] | TAGS
#region-us
| Nahida ZH RVC V2 (Genshin Impact)
VA: 花玲 (Hualing)
250 epochs, trained on voiceovers
if anyone knows how to make .index file small, let me know
| [] | [
"TAGS\n#region-us \n"
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ajibawa-2023/Scarlett-Llama-3-8B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["art", "philosophy", "romance", "jokes", "advice", "code"], "base_model": "ajibawa-2023/Scarlett-Llama-3-8B", "license_link": "LICENSE", "license_name": "llama3", "quantized_by": "mradermacher"} | mradermacher/Scarlett-Llama-3-8B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | research-dump/Fine_tuned_bert-base-uncased_lr_2e-05_epochs_5 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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text-generation | transformers |
Train in 30B Byte. Mode size 353M. Table 2 in [MambaByte](https://arxiv.org/abs/2401.13660)
To use
```
import torch
from mamba_ssm.models.mixer_seq_simple import MambaLMHeadModel
import numpy as np
model=MambaLMHeadModel.from_pretrained("JunxiongWang/MambaByte_Stories", device='cuda', dtype=torch.float32)
text = ... | {"license": "apache-2.0", "metrics": ["perplexity"], "pipeline_tag": "text-generation"} | JunxiongWang/MambaByte_Stories | null | [
"transformers",
"pytorch",
"text-generation",
"arxiv:2401.13660",
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"region:us"
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|
Train in 30B Byte. Mode size 353M. Table 2 in MambaByte
To use
Output
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | research-dump/Fine_tuned_bert-base-uncased_lr_4e-05_epochs_5 | 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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- Funded by [optional]:
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | research-dump/Fine_tuned_bert-base-uncased_lr_5e-05_epochs_5 | 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 | null |
## Exllama v2 Quantizations of Scarlett-Llama-3-8B
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.19">turboderp's ExLlamaV2 v0.0.19</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branch con... | {"language": ["en"], "license": "other", "tags": ["art", "philosophy", "romance", "jokes", "advice", "code"], "license_name": "llama3", "license_link": "LICENSE", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/Scarlett-Llama-3-8B-exl2 | null | [
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| Exllama v2 Quantizations of Scarlett-Llama-3-8B
-----------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.19 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
Each branch contains an individual bits per weight, with ... | [] | [
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text-generation | transformers | # Boto 7B v1.1
<img src="https://i.imgur.com/xscFgqH.png" alt="logo do boto cor-de-rosa" width="300px" />
Boto é um fine-tuning do Mistral 7B para língua portuguesa usando o dataset cetacean-ptbr. O Boto é bem "falante", as respostas tendem a ser longas e nem sempre objetivas por padrão.
Quantizações disponíveis em ... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "datasets": ["lucianosb/cetacean-ptbr"], "base_model": "unsloth/mistral-7b-bnb-4bit", "model-index": [{"name": "boto-7B-v1.1", "results": [{"task": {"type": "text-generation", "name": "Text ... | lucianosb/boto-7B-v1.1 | null | [
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| Boto 7B v1.1
============
<img src="https://i.URL alt="logo do boto cor-de-rosa" width="300px" />
Boto é um fine-tuning do Mistral 7B para língua portuguesa usando o dataset cetacean-ptbr. O Boto é bem "falante", as respostas tendem a ser longas e nem sempre objetivas por padrão.
Quantizações disponíveis em lucia... | [] | [
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] |
null | transformers |
# Uploaded model
- **Developed by:** alberthtan
- **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"} | alberthtan/lora_model | null | [
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|
# Uploaded model
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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": []} | abhijithgururaj/blip2-opt-2.7b-eng-pre-lora-abhijith | 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 | **General-Stories-Mistral-7B**
This model is based on my dataset [General-Stories-Collection](https://huggingface.co/datasets/ajibawa-2023/General-Stories-Collection) which has **1.3 million** stories especially meant for General audience.
After an extensive training period spanning over 15 days, this model has been ... | {"language": ["en"], "license": "apache-2.0", "tags": ["story", "art", "general audience", "knowledge"], "datasets": ["ajibawa-2023/General-Stories-Collection"]} | blockblockblock/General-Stories-Mistral-7B-bpw6 | null | [
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| General-Stories-Mistral-7B
This model is based on my dataset General-Stories-Collection which has 1.3 million stories especially meant for General audience.
After an extensive training period spanning over 15 days, this model has been meticulously honed to deliver captivating narratives with broad appeal.
Leveraging... | [] | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** BarraHome
- **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/unslotha... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "orpo"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit", "pipeline_tag": "text-generation"} | BarraHome/llama-3-orpo-v1-merged-4bit | 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": []} | tom-brady/6-238 | null | [
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text-generation | transformers |
# CodeGemma
Model Page
: [CodeGemma](https://ai.google.dev/gemma/docs/codegemma)
Resources and Technical Documentation
: [Technical Report](https://goo.gle/codegemma)
: [Responsible Generative AI Toolkit](https://ai.google.dev/responsible)
Terms of Use
: [Terms](https://ai.google.dev/gemma/terms)
Authors
: Google
... | {"license": "gemma", "library_name": "transformers", "extra_gated_heading": "Access CodeGemma on Hugging Face", "extra_gated_prompt": "To access CodeGemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Hugging Face and click b... | Chickaboo/codegemma-7b-it | null | [
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| CodeGemma
=========
Model Page
: CodeGemma
Resources and Technical Documentation
: Technical Report
: Responsible Generative AI Toolkit
Terms of Use
: Terms
Authors
: Google
Model Information
-----------------
Summary description and brief definition of inputs and outputs.
### Description
CodeGemma is a... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.01_ablation_4iters_bs256_iter_2
This model is a fine-tuned version of [ShenaoZ/0.01_ablation_4iters_bs256_iter_1](https://hugg... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.01_ablation_4iters_bs256_iter_1", "model-index": [{"name": "0.01_ablation_4iters_bs256_iter_2", "results": []}]} | ShenaoZ/0.01_ablation_4iters_bs256_iter_2 | null | [
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|
# 0.01_ablation_4iters_bs256_iter_2
This model is a fine-tuned version of ShenaoZ/0.01_ablation_4iters_bs256_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information nee... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Uploaded model
- **Developed by:** Haxirus
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-2-13b
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/imag... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-2-13b"} | Haxirus/LLaMA_2_13B_Fine-tuned | null | [
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null | null | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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|
[](URL target=)
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL
This repo contains GGUF versions of the MaziyarPanahi/Llama-3-16B model.
------------------------------------------------------------------------
Simply make AI models cheaper, smaller, faster, and greener!
========... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# amazon_helpfulness_classification_dapt_tap
This model is a fine-tuned version of [BigTMiami/dapt_plus_tapt_helpfulness_base_pret... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "BigTMiami/dapt_plus_tapt_helpfulness_base_pretraining_model", "model-index": [{"name": "amazon_helpfulness_classification_dapt_tap", "results": []}]} | ltuzova/amazon_helpfulness_classification_dapt_tap | null | [
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| amazon\_helpfulness\_classification\_dapt\_tap
==============================================
This model is a fine-tuned version of BigTMiami/dapt\_plus\_tapt\_helpfulness\_base\_pretraining\_model on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3428
* Accuracy: 0.8785
* F1... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | research-dump/Fine_tuned_bert-large-uncased_lr_2e-05_epochs_30 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- License... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# iter1_full
This model is a fine-tuned version of [AmberYifan/test-spin-iter0](https://huggingface.co/AmberYifan/test-spin-iter0)... | {"license": "apache-2.0", "tags": ["alignment-handbook", "generated_from_trainer"], "datasets": ["UCLA-AGI/SPIN_iter0", "UCLA-AGI/SPIN_iter1"], "base_model": "AmberYifan/test-spin-iter0", "model-index": [{"name": "iter1_full", "results": []}]} | AmberYifan/test-spin-iter1 | null | [
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|
# iter1_full
This model is a fine-tuned version of AmberYifan/test-spin-iter0 on the UCLA-AGI/SPIN_iter0 and the UCLA-AGI/SPIN_iter1 datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Trainin... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | research-dump/Fine_tuned_bert-large-uncased_lr_2e-05_epochs_50 | null | [
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text-classification | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | research-dump/Fine_tuned_bert-large-uncased_lr_4e-05_epochs_10 | null | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_ablation_4iters_bs256_decalpha_iter_2
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_4iters_bs256_decalpha_... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_4iters_bs256_decalpha_iter_1", "model-index": [{"name": "0.001_ablation_4iters_bs256_decalpha_iter_2", "results": []}]} | ShenaoZ/0.001_ablation_4iters_bs256_decalpha_iter_2 | null | [
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# 0.001_ablation_4iters_bs256_decalpha_iter_2
This model is a fine-tuned version of ShenaoZ/0.001_ablation_4iters_bs256_decalpha_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_ablation_4iters_bs256_declr_iter_2
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_4iters_bs256_declr_iter_1... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_4iters_bs256_declr_iter_1", "model-index": [{"name": "0.001_ablation_4iters_bs256_declr_iter_2", "results": []}]} | ShenaoZ/0.001_ablation_4iters_bs256_declr_iter_2 | null | [
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# 0.001_ablation_4iters_bs256_declr_iter_2
This model is a fine-tuned version of ShenaoZ/0.001_ablation_4iters_bs256_declr_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More i... | [
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translation | transformers |
# Eng_Marathi_translation
This model is designed to translate text from English to Marathi using a custom-trained Transformer model.
## Model Description
The Eng_Marathi_translation model is a sequence-to-sequence Transformer model that has been fine-tuned for translating English text to Marathi. It uses a standard... | {"language": ["en", "mr"], "license": "apache-2.0", "tags": ["translation", "eng-marathi"], "datasets": ["custom"]} | HariSekhar/Eng_Marathi_translation | null | [
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# Eng_Marathi_translation
This model is designed to translate text from English to Marathi using a custom-trained Transformer model.
## Model Description
The Eng_Marathi_translation model is a sequence-to-sequence Transformer model that has been fine-tuned for translating English text to Marathi. It uses a standard... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Epistemic_tiny_0.2_Seed105 | null | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_Epistemic_tiny_0.2_Seed105 | null | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** BarraHome
- **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/unslotha... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit", "pipeline_tag": "text-generation"} | BarraHome/llama-3-orpo-v1 | null | [
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# Uploaded model
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- License: apache-2.0
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text-generation | transformers |
# Llama 3 finetuned on my TRRR-CoT Dataset
**cookinai/TRRR-CoT**
- This was an attempt at synthetically generating a CoT dataset and then finetuning it on a model to see its reuslts.
- From what I notice, when using the correct prompt template the model almost always ues the TRRR format, but I am still awaiting benc... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | cookinai/LlamaReflect-8B-CoT | null | [
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|
# Llama 3 finetuned on my TRRR-CoT Dataset
cookinai/TRRR-CoT
- This was an attempt at synthetically generating a CoT dataset and then finetuning it on a model to see its reuslts.
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | research-dump/Fine_tuned_bert-base-uncased_lr_0.0005_epochs_10 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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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-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | research-dump/Fine_tuned_bert-base-uncased_lr_0.0005_epochs_30 | 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | research-dump/Fine_tuned_bert-base-uncased_lr_0.0005_epochs_50 | null | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-finetuned-squad
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-squad", "results": []}]} | jyanimaulik/bert-finetuned-squad | null | [
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|
# bert-finetuned-squad
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | research-dump/Fine_tuned_bert-base-uncased_lr_3e-05_epochs_10 | 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 |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/sad_llama_5.0 | 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. -->
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": []} | hmmamalrjoub/23-4-2024-model | null | [
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | pvbhanuteja/Meta-Llama-3-8B-Instruct | null | [
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| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
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text-generation | transformers |
### Model Description
This model is a Mixture of Experts merged LLM consisting of 3 mistral based models:
base model, **openchat/openchat-3.5-0106**
code expert, **beowolx/CodeNinja-1.0-OpenChat-7B**
math expert, **meta-math/MetaMath-Mistral-7B**
This is the Mergekit config used in the merging process:
``` yaml
b... | {"license": "mit", "tags": ["merge", "mergekit", "mistral", "moe", "conversational", "chicka"], "pipeline_tag": "text-generation"} | Chickaboo/Chicka-Mixtral-3x7b | null | [
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#transformers #safetensors #mixtral #text-generation #merge #mergekit #mistral #moe #conversational #chicka #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This model is a Mixture of Experts merged LLM consisting of 3 mistral based models:
base model, openchat/openchat-3.5-0106
code expert, beowolx/CodeNinja-1.0-OpenChat-7B
math expert, meta-math/MetaMath-Mistral-7B
This is the Mergekit config used in the merging process:
### Usage
| [
"### Model Description\n\nThis model is a Mixture of Experts merged LLM consisting of 3 mistral based models:\n\nbase model, openchat/openchat-3.5-0106\n\ncode expert, beowolx/CodeNinja-1.0-OpenChat-7B\n\nmath expert, meta-math/MetaMath-Mistral-7B\n\nThis is the Mergekit config used in the merging process:",
"###... | [
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text-generation | null |
## Llamacpp iMatrix Quantizations of Scarlett-Llama-3-8B
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2714">b2714</a> for quantization.
Original model: https://huggingface.co/ajibawa-2023/Scarlett-Llama-3-8B
All quants ma... | {"language": ["en"], "license": "other", "tags": ["art", "philosophy", "romance", "jokes", "advice", "code"], "license_name": "llama3", "license_link": "LICENSE", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/Scarlett-Llama-3-8B-GGUF | null | [
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"art",
"philosophy",
"romance",
"jokes",
"advice",
"code",
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"en",
"license:other",
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"en"
] | TAGS
#gguf #art #philosophy #romance #jokes #advice #code #text-generation #en #license-other #region-us
| Llamacpp iMatrix Quantizations of Scarlett-Llama-3-8B
-----------------------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
All quants made using imatrix option with dataset provided by Kalomaze here
Prompt format
-------------
Download a file (not... | [] | [
"TAGS\n#gguf #art #philosophy #romance #jokes #advice #code #text-generation #en #license-other #region-us \n"
] | [
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"TAGS\n#gguf #art #philosophy #romance #jokes #advice #code #text-generation #en #license-other #region-us \n"
] |
null | transformers |
# Uploaded model
- **Developed by:** toche777
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | toche777/llama3_8b_han | null | [
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"base_model:unsloth/llama-3-8b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
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"en"
] | TAGS
#transformers #safetensors #text-generation-inference #unsloth #llama #trl #en #base_model-unsloth/llama-3-8b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: toche777
- 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"/>
| [
"# Uploaded model\n\n- Developed by: toche777\n- License: apache-2.0\n- Finetuned from model : unsloth/llama-3-8b-bnb-4bit\n\nThis llama model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
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"# Uploaded model\n\n- Developed by: toche777\n- License: apache-2.0\n- Finetuned from model : unsloth/llama-3-8b-bnb-4bit\n\nThi... | [
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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": []} | swj0419/newsqa_STEP0001000 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-22T23:55:46+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="rahil1206/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.54 +/... | rahil1206/q-Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-22T23:58:02+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
| [
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] |
text-generation | transformers |
# Uploaded model
- **Developed by:** TheBossLevel123
- **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/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | TheBossLevel123/Llama3-Toxic-8B-Float16 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"text-generation-inference",
"unsloth",
"trl",
"sft",
"en",
"base_model:unsloth/llama-3-8b-bnb-4bit",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-22T23:58:32+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #text-generation-inference #unsloth #trl #sft #en #base_model-unsloth/llama-3-8b-bnb-4bit #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: TheBossLevel123
- 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"/>
| [
"# Uploaded model\n\n- Developed by: TheBossLevel123\n- License: apache-2.0\n- Finetuned from model : unsloth/llama-3-8b-bnb-4bit\n\nThis llama model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #text-generation-inference #unsloth #trl #sft #en #base_model-unsloth/llama-3-8b-bnb-4bit #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
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76,
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text-generation | transformers |
# Model Card for Model ID
This is Jamba quantized with bitsandbytes to 4-bit. It is based on [ai21labs/Jamba-v0.1](https://huggingface.co/ai21labs/Jamba-v0.1).
## Model Details
The model was created using a recipe detailed in this article:
[Jamba: The New Hybrid Transformer/Mamba](https://thesalt.substack.com/p/ja... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers"} | kaitchup/Jamba-v0.1-bnb-mamba-4bit | null | [
"transformers",
"safetensors",
"jamba",
"text-generation",
"custom_code",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"4-bit",
"region:us"
] | null | 2024-04-22T23:59:00+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #jamba #text-generation #custom_code #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #4-bit #region-us
|
# Model Card for Model ID
This is Jamba quantized with bitsandbytes to 4-bit. It is based on ai21labs/Jamba-v0.1.
## Model Details
The model was created using a recipe detailed in this article:
Jamba: The New Hybrid Transformer/Mamba
No modules have been "skipped" for the quantization.
### Model Description
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | swj0419/booksum_STEP0001000 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-23T00:01:43+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | stvhuang/rcr-run-5pqr6lwp-90396-master-0_20240402T105012-ep29 | null | [
"transformers",
"safetensors",
"xlm-roberta",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
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#transformers #safetensors #xlm-roberta #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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- Model type:
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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": []} | swj0419/newsqa_STEP0003000 | null | [
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"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
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"region:us"
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|
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- Language(s) (NLP):
- License... | [
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feature-extraction | transformers | # Fixed xtuner/llava-llama-3-8b-v1_1
Merged vision-encoder, projector and model like the weights in weizhiwang/LLaVA-Llama-3-8B config is still the original and should be updated if used directly
Can be used with llama.cpp like so
```
python llava-surgery-v2.py -m llava-3-8b-1.1-hf/
python convert-image-encoder-to-gg... | {} | NyxKrage/llava-llama-3-8b-v1_1-hf | null | [
"transformers",
"safetensors",
"gguf",
"llama",
"feature-extraction",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-23T00:06:22+00:00 | [] | [] | TAGS
#transformers #safetensors #gguf #llama #feature-extraction #endpoints_compatible #text-generation-inference #region-us
| # Fixed xtuner/llava-llama-3-8b-v1_1
Merged vision-encoder, projector and model like the weights in weizhiwang/LLaVA-Llama-3-8B config is still the original and should be updated if used directly
Can be used with URL like so
| [
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null | peft |
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text-generation | transformers |
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null | transformers |
# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Llama-2-7b-chat-hf_fictional_Korean_v1
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# Llama-2-7b-chat-hf_fictional_Korean_v1
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.
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More information needed
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text-generation | transformers |
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text-generation | transformers |
# Llama-3-5B-Sheard
Pruned version of Llama-3-8b.
Tool used: [PrunMe](https://github.com/arcee-ai/PruneMe), Mergekit.
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!image/png
# Llama-3-5B-Sheard
Pruned version of Llama-3-8b.
Tool used: PrunMe, Mergekit.
Meta Llama 3 is licensed under the Meta Llama 3 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved.
## Training
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"# Llama-3-5B-Sheard\n\nPruned version of Llama-3-8b.\n\nTool used: PrunMe, Mergekit.\n\nMeta Llama 3 is licensed under the Meta Llama 3 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved.",
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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": []} | swj0419/booksum_STEP0005000 | null | [
"transformers",
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"llama",
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"arxiv:1910.09700",
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] | null | 2024-04-23T00:21:12+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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null | transformers |
# Uploaded model
- **Developed by:** JUNGU
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/mai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | JUNGU/lora_model | null | [
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"license:apache-2.0",
"endpoints_compatible",
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"en"
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#transformers #safetensors #text-generation-inference #unsloth #llama #trl #en #base_model-unsloth/llama-3-8b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: JUNGU
- 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"/>
| [
"# Uploaded model\n\n- Developed by: JUNGU\n- License: apache-2.0\n- Finetuned from model : unsloth/llama-3-8b-bnb-4bit\n\nThis llama model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
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null | null |
# sosoai/hansoldeco-llama3-70B-8bit-v0.1-Q2_K-GGUF
This model was converted to GGUF format from [`sosoai/hansoldeco-llama3-70B-8bit-v0.1`](https://huggingface.co/sosoai/hansoldeco-llama3-70B-8bit-v0.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to... | {"tags": ["llama-cpp", "gguf-my-repo"]} | sosoai/hansoldeco-llama3-70B-8bit-v0.1-Q2_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-23T00:29:30+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# sosoai/hansoldeco-llama3-70B-8bit-v0.1-Q2_K-GGUF
This model was converted to GGUF format from 'sosoai/hansoldeco-llama3-70B-8bit-v0.1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the ... | [
"# sosoai/hansoldeco-llama3-70B-8bit-v0.1-Q2_K-GGUF\nThis model was converted to GGUF format from 'sosoai/hansoldeco-llama3-70B-8bit-v0.1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the UR... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/sydonayrex/Tradocian-Draconian-Potion-34B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If th... | {"language": ["en"], "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "sydonayrex/Tradocian-Draconian-Notion-34B", "TeeZee/Kyllene-34B-v1.1"], "base_model": "sydonayrex/Tradocian-Draconian-Potion-34B", "quantized_by": "mradermacher"} | mradermacher/Tradocian-Draconian-Potion-34B-GGUF | null | [
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"en",
"base_model:sydonayrex/Tradocian-Draconian-Potion-34B",
"endpoints_compatible",
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | transformers |
# Llama 3 finetuned on my TRRR-CoT Dataset
**cookinai/TRRR-CoT**
- This was an attempt at synthetically generating a CoT dataset and then finetuning it on a model to see its reuslts.
- From what I notice, when using the correct prompt template the model almost always ues the TRRR format, but I am still awaiting benc... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | cookinai/LlamaReflect-8B-CoT-safetensors | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T00:32:18+00:00 | [] | [
"en"
] | TAGS
#transformers #pytorch #safetensors #llama #text-generation #text-generation-inference #unsloth #trl #sft #en #base_model-unsloth/llama-3-8b-bnb-4bit #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# Llama 3 finetuned on my TRRR-CoT Dataset
cookinai/TRRR-CoT
- This was an attempt at synthetically generating a CoT dataset and then finetuning it on a model to see its reuslts.
- From what I notice, when using the correct prompt template the model almost always ues the TRRR format, but I am still awaiting benchmar... | [
"# Llama 3 finetuned on my TRRR-CoT Dataset\ncookinai/TRRR-CoT\n\n- This was an attempt at synthetically generating a CoT dataset and then finetuning it on a model to see its reuslts. \n- From what I notice, when using the correct prompt template the model almost always ues the TRRR format, but I am still awaiting ... | [
"TAGS\n#transformers #pytorch #safetensors #llama #text-generation #text-generation-inference #unsloth #trl #sft #en #base_model-unsloth/llama-3-8b-bnb-4bit #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Llama 3 finetuned on my TRRR-CoT Dataset\ncookinai/TRRR-CoT\n\n- This was ... | [
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text-generation | transformers |
# solar_merge_test_1
## 🧩 Configuration
```yaml
base_model: beomi/OPEN-SOLAR-KO-10.7B
dtype: float16
experts:
- source_model: beomi/OPEN-SOLAR-KO-10.7B
positive_prompts: ["당신은 친절한 보편적인 어시스턴트이다."]
- source_model: hyeogi/SOLAR-10.7B-dpo-v1
positive_prompts: ["당신은 옳은 사실만을 말하는 어시스턴트이다."]
gate_mode: cheap_em... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "beomi/OPEN-SOLAR-KO-10.7B", "hyeogi/SOLAR-10.7B-dpo-v1"], "base_model": ["beomi/OPEN-SOLAR-KO-10.7B", "hyeogi/SOLAR-10.7B-dpo-v1"]} | jieunhan/solar_merge_test_1-1 | null | [
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"base_model:hyeogi/SOLAR-10.7B-dpo-v1",
"license:apache-2.0",
"autotrai... | null | 2024-04-23T00:32:31+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #moe #frankenmoe #merge #mergekit #lazymergekit #beomi/OPEN-SOLAR-KO-10.7B #hyeogi/SOLAR-10.7B-dpo-v1 #base_model-beomi/OPEN-SOLAR-KO-10.7B #base_model-hyeogi/SOLAR-10.7B-dpo-v1 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inf... |
# solar_merge_test_1
## Configuration
## Usage
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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": []} | himum/sn6_5s | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-generation | 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": []} | himum/sn6_3s | null | [
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"safetensors",
"stablelm",
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
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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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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuned__beto-clinical-wl-es__augmented-ultrasounds
This model is a fine-tuned version of [plncmm/beto-clinical-wl-es](https:/... | {"tags": ["generated_from_trainer"], "base_model": "plncmm/beto-clinical-wl-es", "model-index": [{"name": "finetuned__beto-clinical-wl-es__augmented-ultrasounds", "results": []}]} | manucos/finetuned__beto-clinical-wl-es__augmented-ultrasounds | null | [
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"bert",
"fill-mask",
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"base_model:plncmm/beto-clinical-wl-es",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T00:37:48+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #fill-mask #generated_from_trainer #base_model-plncmm/beto-clinical-wl-es #autotrain_compatible #endpoints_compatible #region-us
| finetuned\_\_beto-clinical-wl-es\_\_augmented-ultrasounds
=========================================================
This model is a fine-tuned version of plncmm/beto-clinical-wl-es on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5568
Model description
-----------------
Mo... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 256\n* optimizer: Adam with betas=(0.9,0.999) and epsi... | [
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"TAGS\n#transformers #tensorboard #safetensors #bert #fill-mask #generated_from_trainer #base_model-plncmm/beto-clinical-wl-es #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_... |
text-generation | transformers | # **Llama 2**
Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 7B fine-tuned model, optimized for dialogue use cases and converted for the Hugging Face Transformers format. Links to other models can be fo... | {"language": ["en"], "license": "llama2", "tags": ["facebook", "meta", "pytorch", "llama", "llama-2"], "extra_gated_heading": "You need to share contact information with Meta to access this model", "extra_gated_prompt": "### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\"Agreement\" means the terms and conditions for use, repr... | featherlite-ai/Featherlite-Llama2-7B-chat | null | [
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"arxiv:2307.09288",
"license:llama2",
"autotrain_compatible",
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] | null | 2024-04-23T00:43:31+00:00 | [
"2307.09288"
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"en"
] | TAGS
#transformers #pytorch #safetensors #llama #text-generation #facebook #meta #llama-2 #conversational #en #arxiv-2307.09288 #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Llama 2
=======
Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 7B fine-tuned model, optimized for dialogue use cases and converted for the Hugging Face Transformers format. Links to other models can b... | [] | [
"TAGS\n#transformers #pytorch #safetensors #llama #text-generation #facebook #meta #llama-2 #conversational #en #arxiv-2307.09288 #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] | [
70
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"TAGS\n#transformers #pytorch #safetensors #llama #text-generation #facebook #meta #llama-2 #conversational #en #arxiv-2307.09288 #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] |
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