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text-generation | null |
## Exllama v2 Quantizations of dolphin-2.9-llama3-8b
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 c... | {"license": "other", "tags": ["generated_from_trainer"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-problems... | bartowski/dolphin-2.9-llama3-8b-exl2 | null | [
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"dataset:cognitivecomputations/dolphin-coder",
"dataset:cognitivecomputations/samantha-data",
"dataset:HuggingFaceH4/ultrachat_... | null | 2024-04-21T04:37:37+00:00 | [] | [] | TAGS
#generated_from_trainer #text-generation #dataset-cognitivecomputations/Dolphin-2.9 #dataset-teknium/OpenHermes-2.5 #dataset-m-a-p/CodeFeedback-Filtered-Instruction #dataset-cognitivecomputations/dolphin-coder #dataset-cognitivecomputations/samantha-data #dataset-HuggingFaceH4/ultrachat_200k #dataset-microsoft/orc... | Exllama v2 Quantizations of dolphin-2.9-llama3-8b
-------------------------------------------------
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, w... | [] | [
"TAGS\n#generated_from_trainer #text-generation #dataset-cognitivecomputations/Dolphin-2.9 #dataset-teknium/OpenHermes-2.5 #dataset-m-a-p/CodeFeedback-Filtered-Instruction #dataset-cognitivecomputations/dolphin-coder #dataset-cognitivecomputations/samantha-data #dataset-HuggingFaceH4/ultrachat_200k #dataset-microso... | [
183
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"TAGS\n#generated_from_trainer #text-generation #dataset-cognitivecomputations/Dolphin-2.9 #dataset-teknium/OpenHermes-2.5 #dataset-m-a-p/CodeFeedback-Filtered-Instruction #dataset-cognitivecomputations/dolphin-coder #dataset-cognitivecomputations/samantha-data #dataset-HuggingFaceH4/ultrachat_200k #dataset-microso... |
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": []} | hi000000/insta_attrangs-llama-koen_80 | null | [
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"1910.09700"
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#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.
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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": []} | arya123321/yumcraft | 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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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. -->
# shawgpt-ft
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistra... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "shawgpt-ft", "results": []}]} | arya123321/shawgpt-ft | null | [
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"region:us"
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.2-GPTQ #license-apache-2.0 #region-us
| shawgpt-ft
==========
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9078
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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text-generation | transformers |
# Qwen1.5-0.5B-Chat
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
* 8 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B and 72B dense models, and... | {"language": ["en"], "license": "other", "tags": ["chat"], "license_name": "tongyi-qianwen-research", "license_link": "https://huggingface.co/Qwen/Qwen1.5-0.5B-Chat/blob/main/LICENSE", "pipeline_tag": "text-generation"} | padeoe/test-Qwen1.5-0.5B | null | [
"transformers",
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"qwen2",
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"chat",
"conversational",
"en",
"license:other",
"autotrain_compatible",
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"text-generation-inference",
"region:us"
] | null | 2024-04-21T04:45:13+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #qwen2 #text-generation #chat #conversational #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Qwen1.5-0.5B-Chat
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
* 8 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B and 72B dense models, and... | [
"# Qwen1.5-0.5B-Chat",
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# byt5_1k
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Lo... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "byt5_1k", "results": []}]} | AlexWang99/byt5_1k | null | [
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"region:us"
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#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| byt5\_1k
========
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0868
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and eval... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "workspace/llama3-8b-pippa", "results": []}]} | taozi555/llama3-8b-pippa | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
workspace/llama3-8b-pippa
=========================
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the None dataset.
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Abhinay123/wav2vec2_vedas_iast_epoch_2_step_1399 | 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 |
# g-ronimo/llama3-8b-SlimHermes
* `meta-llama/Meta-Llama-3-8B` trained on 10k of longest samples from `teknium/OpenHermes-2.5`
## Sample Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
model_path = "g-ronimo/llama3-8b-SlimHermes"
model = AutoModelForCausalLM.from_pretrained(... | {"license": "other", "library_name": "transformers", "tags": [], "license_name": "llama3"} | g-ronimo/llama3-8b-SlimHermes | null | [
"transformers",
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"llama",
"text-generation",
"conversational",
"license:other",
"autotrain_compatible",
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"region:us"
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#transformers #safetensors #llama #text-generation #conversational #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# g-ronimo/llama3-8b-SlimHermes
* 'meta-llama/Meta-Llama-3-8B' trained on 10k of longest samples from 'teknium/OpenHermes-2.5'
## Sample Usage
## Sample Output
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null | null |
This is the [llamafile](https://github.com/Mozilla-Ocho/llamafile) for [Dolphin 2.9 Llama 3 8b](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b).
Quick tests show it's good but not as sharp as the base model, using just some few shot prompts looking for precision when asking specifics about method... | {"license": "other", "tags": ["generated_from_trainer"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-problems... | gobean/dolphin-2.9-llama3-8b.llamafile | null | [
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"dataset:HuggingFaceH4/ultrachat_200k",... | null | 2024-04-21T04:57:22+00:00 | [] | [] | TAGS
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Quick tests show it's good but not as sharp as the base model, using just some few shot prompts looking for precision when asking specifics about methods in a process. More tests will have to be done to compare this and WizardLM-7B to see how much the finetuning/new E... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 3\n* eval\\_batch\\_size: 3\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 8\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 96\n*... | [
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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. -->
# phi-2-coedit
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datas... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi-2-coedit", "results": []}]} | iliazlobin/phi-2-coedit | null | [
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"custom_code",
"base_model:microsoft/phi-2",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T04:57:35+00:00 | [] | [] | TAGS
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| phi-2-coedit
============
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7388
* Rouge1: 0.5206
* Rouge2: 0.4123
* Rougel: 0.4979
* Rougelsum: 0.5032
* Sacreblue: 28.1346
* Memory Used: 81917.5
* Cuda Allocated: 10795.78... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 35\n* eval\\_batch\\_size: 35\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 140\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num_frame_10_myViT2window_more_data_b4
This model is a fine-tuned versi... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/timesformer-base-finetuned-k400", "model-index": [{"name": "timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num_frame_10_myViT2window_more_data_b4", "results": []}]} | JackWong0911/timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num_frame_10_myViT2window_more_data_b4 | null | [
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#transformers #tensorboard #safetensors #timesformer #generated_from_trainer #base_model-facebook/timesformer-base-finetuned-k400 #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num\_frame\_10\_myViT2window\_more\_data\_b4
=====================================================================================================
This model is a fine-tuned version of facebook/timesformer-base-finetuned-k400 on an unknown dataset.
It achieves ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio: ... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-CartPole8", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"t... | APLunch/Reinforce-CartPole8 | null | [
"CartPole-v1",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-21T05:03:59+00:00 | [] | [] | TAGS
#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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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. -->
WandB: https://wandb.ai/oaaic/orpo-llama-3/runs/gc2d3cxp
Benchmarks: TBD
[<img src="https://raw.githubusercontent.com/OpenAccess-... | {"library_name": "peft", "tags": ["generated_from_trainer", "axolotl"], "datasets": ["mlabonne/orpo-dpo-mix-40k"], "base_model": "winglian/meta-llama3-chatml", "model-index": [{"name": "llama-3-orpo-qlora", "results": []}]} | winglian/llama-3-orpo-ml | null | [
"peft",
"safetensors",
"llama",
"generated_from_trainer",
"axolotl",
"dataset:mlabonne/orpo-dpo-mix-40k",
"base_model:winglian/meta-llama3-chatml",
"region:us"
] | null | 2024-04-21T05:04:10+00:00 | [] | [] | TAGS
#peft #safetensors #llama #generated_from_trainer #axolotl #dataset-mlabonne/orpo-dpo-mix-40k #base_model-winglian/meta-llama3-chatml #region-us
|
WandB: URL
Benchmarks: TBD
<img src="URL alt="Built with Axolotl" width="200" height="32"/>
<details><summary>See axolotl config</summary>
axolotl version: '0.4.0'
</details><br>
# llama-3-orpo-qlora
This model was trained from scratch on the None dataset.
## Model description
More information needed
## In... | [
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"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Cartpolev1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"type": "me... | UXAIR/Cartpolev1 | null | [
"CartPole-v1",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-21T05:08:07+00:00 | [] | [] | TAGS
#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
#### Full License available at: https://huggingface.co/beomi/llama-2-koen-13b/blob/main/LICENSE
#### Dataset: Crawling | {"language": ["ko"], "license": "llama2", "library_name": "transformers", "pipeline_tag": "text-generation"} | wendy41/llama-2-koen-user0-80-0419-2 | null | [
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"autotrain_compatible",
"endpoints_compatible",
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"region:us"
] | null | 2024-04-21T05:10:09+00:00 | [] | [
"ko"
] | TAGS
#transformers #safetensors #llama #text-generation #ko #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
#### Full License available at: URL
#### Dataset: Crawling | [
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] |
reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "PixelCopter", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelcopter-PLE-v0"}, "m... | UXAIR/PixelCopter | null | [
"Pixelcopter-PLE-v0",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-21T05:11:07+00:00 | [] | [] | TAGS
#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
"# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL"
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text-generation | transformers | ## Llama-3-8B-Instruct-DADA
# Warning: This model is experimental and thus potentially unpredictable.
This model employs the same strategy as [Mixtral Instruct ITR DADA](https://huggingface.co/Envoid/Mixtral-Instruct-ITR-DADA-8x7B)
I trained [Llama-3-8B-Instruct](meta-llama/M... | {"license": "cc-by-nc-4.0"} | Envoid/Llama-3-8B-Instruct-DADA | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T05:14:21+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| ## Llama-3-8B-Instruct-DADA
![](URL
# Warning: This model is experimental and thus potentially unpredictable.
This model employs the same strategy as Mixtral Instruct ITR DADA
I trained Llama-3-8B-Instruct on the Alpaca-DADA dataset for 10 epochs at 1e-6 learning rate.
I then did a 50/50 SLERP merge of the resulting... | [
"## Llama-3-8B-Instruct-DADA\n![](URL",
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"gemma",
"alignment-handbook",
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"sft",
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"dataset:HuggingFaceH4/ultrachat_200k",
"base_model:google/gemma-7b",
"license:gemma",
"region:us"
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| zephyr-7b-gemma-sft-5p
======================
This model is a fine-tuned version of google/gemma-7b on the HuggingFaceH4/ultrachat\_200k dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1230
Model description
-----------------
More information needed
Intended uses & limitations
----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 64\n... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0_ablation_sample1_4iters_iter_3
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_sample1_4iters_iter_2](https:... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_sample1_4iters_dataset"], "base_model": "ZhangShenao/0.0_ablation_sample1_4iters_iter_2", "model-index": [{"name": "0.0_ablation_sample1_4iters_iter_3", "results": ... | ZhangShenao/0.0_ablation_sample1_4iters_iter_3 | null | [
"transformers",
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"base_model:ZhangShenao/0.0_ablation_sample1_4iters_iter_2",
"license:mit",
"autotrain_compa... | null | 2024-04-21T05:18:32+00:00 | [] | [] | TAGS
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# 0.0_ablation_sample1_4iters_iter_3
This model is a fine-tuned version of ZhangShenao/0.0_ablation_sample1_4iters_iter_2 on the ZhangShenao/0.0_ablation_sample1_4iters_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluatio... | [
"# 0.0_ablation_sample1_4iters_iter_3\n\nThis model is a fine-tuned version of ZhangShenao/0.0_ablation_sample1_4iters_iter_2 on the ZhangShenao/0.0_ablation_sample1_4iters_dataset dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore 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. -->
# Mistral-7B-Instruct-v0.1_medical_bios_5000_1ep
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https:... | {"license": "apache-2.0", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.1", "model-index": [{"name": "Mistral-7B-Instruct-v0.1_medical_bios_5000_1ep", "results": []}]} | mohsenfayyaz/Mistral-7B-Instruct-v0.1_medical_bios_5000_1ep | null | [
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] | null | 2024-04-21T05:25:49+00:00 | [] | [] | TAGS
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|
# Mistral-7B-Instruct-v0.1_medical_bios_5000_1ep
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Train... | [
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text-generation | transformers |
## Model Details
Arctic is a dense-MoE Hybrid transformer architecture pre-trained from scratch by the Snowflake AI
Research Team. We are releasing model checkpoints for both the base and instruct-tuned versions of
Arctic under an Apache-2.0 license. This means you can use them freely in your own research,
prototy... | {"license": "apache-2.0", "tags": ["snowflake", "arctic", "moe"]} | Snowflake/snowflake-arctic-instruct | null | [
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#transformers #safetensors #arctic #text-generation #snowflake #moe #conversational #custom_code #license-apache-2.0 #autotrain_compatible #has_space #region-us
|
## Model Details
Arctic is a dense-MoE Hybrid transformer architecture pre-trained from scratch by the Snowflake AI
Research Team. We are releasing model checkpoints for both the base and instruct-tuned versions of
Arctic under an Apache-2.0 license. This means you can use them freely in your own research,
prototy... | [
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null | null | # Comments Discussion & Contact
Comments Discussion & Contact for any questions, inquries, and issues about anything realted to this organization.
- simply [Create a new chat](https://huggingface.co/sagacity0/Discussion/discussions/new)
| {} | sagacity0/Discussion | null | [
"region:us"
] | null | 2024-04-21T05:27:00+00:00 | [] | [] | TAGS
#region-us
| # Comments Discussion & Contact
Comments Discussion & Contact for any questions, inquries, and issues about anything realted to this organization.
- simply Create a new chat
| [
"# Comments Discussion & Contact \n\nComments Discussion & Contact for any questions, inquries, and issues about anything realted to this organization. \n\n\n\n\n- simply Create a new chat"
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results
This model is a fine-tuned version of [LA1512/PubMed-fine-tune](https://huggingface.co/LA1512/PubMed-fine-tune) on the p... | {"tags": ["generated_from_trainer"], "datasets": ["pubmed-summarization"], "metrics": ["rouge"], "base_model": "LA1512/PubMed-fine-tune", "model-index": [{"name": "results", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "pubmed-summarization... | LA1512/results | null | [
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"region:us"
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| results
=======
This model is a fine-tuned version of LA1512/PubMed-fine-tune on the pubmed-summarization dataset.
It achieves the following results on the evaluation set:
* Loss: 3.6196
* Rouge1: 40.7402
* Rouge2: 16.1978
* Rougel: 24.4278
* Rougelsum: 36.5282
* Gen Len: 179.6185
Model description
--------------... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_billsum_model
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "my_awesome_billsum_model", "results": []}]} | suneeln-duke/my_awesome_billsum_model | null | [
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| my\_awesome\_billsum\_model
===========================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4817
* Rouge1: 0.1426
* Rouge2: 0.0526
* Rougel: 0.1202
* Rougelsum: 0.1203
* Gen Len: 19.0
Model description
-----------... | [
"### 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: 4\n* mixed\\_prec... | [
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token-classification | spacy | | Feature | Description |
| --- | --- |
| **Name** | `fr_scenAIrio_sequence_classification` |
| **Version** | `0.1.0` |
| **spaCy** | `>=3.7.4,<3.8.0` |
| **Default Pipeline** | `ner` |
| **Components** | `ner` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | n/a |
| **License** | n/a |
| **A... | {"language": ["fr"], "tags": ["spacy", "token-classification"]} | martinvanaud/fr_scenAIrio_sequence_classification | null | [
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"token-classification",
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#spacy #token-classification #fr #model-index #region-us
|
### Label Scheme
View label scheme (4 labels for 1 components)
### Accuracy
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zephyr-7b-gemma-sft-10p
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the H... | {"license": "gemma", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "google/gemma-7b", "model-index": [{"name": "zephyr-7b-gemma-sft-10p", "results": []}]} | Jackie999/zephyr-7b-gemma-sft-10p | null | [
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"base_model:google/gemma-7b",
"license:gemma",
"region:us"
] | null | 2024-04-21T05:32:27+00:00 | [] | [] | TAGS
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| zephyr-7b-gemma-sft-10p
=======================
This model is a fine-tuned version of google/gemma-7b on the HuggingFaceH4/ultrachat\_200k dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1202
Model description
-----------------
More information needed
Intended uses & limitations
--... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 64\n... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zephyr-7b-gemma-sft-20p
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the H... | {"license": "gemma", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "google/gemma-7b", "model-index": [{"name": "zephyr-7b-gemma-sft-20p", "results": []}]} | Jackie999/zephyr-7b-gemma-sft-20p | null | [
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| zephyr-7b-gemma-sft-20p
=======================
This model is a fine-tuned version of google/gemma-7b on the HuggingFaceH4/ultrachat\_200k dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1172
Model description
-----------------
More information needed
Intended uses & limitations
--... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gpt-neo-2.7B_LAMA_TREx_finetuning
This model is a fine-tuned version of [EleutherAI/gpt-neo-2.7B](https://huggingface.co/Eleuthe... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-2.7B", "model-index": [{"name": "gpt-neo-2.7B_LAMA_TREx_finetuning", "results": []}]} | KimByeongSu/gpt-neo-2.7B_LAMA_TREx_finetuning | null | [
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"base_model:EleutherAI/gpt-neo-2.7B",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T05:34:32+00:00 | [] | [] | TAGS
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|
# gpt-neo-2.7B_LAMA_TREx_finetuning
This model is a fine-tuned version of EleutherAI/gpt-neo-2.7B on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Train... | [
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null | peft |
# gemma-prompt
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on 2 datasets- dolly-15k for general knowledge and a curated m-a-p/MusicPile
## Model description
This model is a completed trained model used for music knowledge and prompt automation from musical vib... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "gemma-prompt", "results": []}]} | jhineric/gemma-prompt | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:google/gemma-2b",
"license:gemma",
"region:us"
] | null | 2024-04-21T05:37:10+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-google/gemma-2b #license-gemma #region-us
|
# gemma-prompt
This model is a fine-tuned version of google/gemma-2b on 2 datasets- dolly-15k for general knowledge and a curated m-a-p/MusicPile
## Model description
This model is a completed trained model used for music knowledge and prompt automation from musical vibes.
## Intended uses & limitations
Inten... | [
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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": []} | stanoh/codeparrot | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/dumbo-llama2 | null | [
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null | transformers |
# Uploaded model
- **Developed by:** yuneun92
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
unsloth 라이브러리를 이용해 llama3 4bit 모델에 alpaca 데이터를 학습시켰습니다. | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | yuneun92/llama3-alpaca | null | [
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text-classification | transformers |
## English-Doc-Topic-BERT
Engish-Doc-Topic-BERT model is a BERT-Base-uncased model fine-tuned on Engish documents from the L3Cube-IndicNews Corpus [dataset link]https://github.com/l3cube-pune/indic-nlp. <br>
This dataset consists of sub-datasets like LDC (Long Document Classification), LPC (Long Paragraph Classificati... | {"language": ["en"], "license": "cc-by-4.0", "tags": ["bert"], "datasets": ["L3Cube-IndicNews"], "widget": [{"text": "BCCI took action against Mumbai Indians batter Tim David and batting coach Kieron Pollard after they were found guilty of breaching the IPL Code of Conduct during their match against the Punjab Kings in... | l3cube-pune/english-topic-all-doc | null | [
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## English-Doc-Topic-BERT
Engish-Doc-Topic-BERT model is a BERT-Base-uncased model fine-tuned on Engish documents from the L3Cube-IndicNews Corpus [dataset link]URL <br>
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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": []} | GalaganKV/Mistral-7B-Instruct-v0.2-MultiTask-v7 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# HelpingAI-3B-v2: Emotionally Intelligent Conversational AI
## Introduction
HelpingAI-3B-v2 is a state-of-the-art large language model specializing in emotionally intelligent conversation. With advanced emotional understanding capabi... | {"language": ["en"], "license": "other", "tags": ["3B", "Emotionally Intelligent"], "license_name": "hsul", "license_link": "https://huggingface.co/OEvortex/vortex-3b/raw/main/LICENSE.md", "pipeline_tag": "text-generation"} | OEvortex/HelpingAI-3B-v2.1 | null | [
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| HelpingAI-3B-v2: Emotionally Intelligent Conversational AI
==========================================================
!logo
Introduction
------------
HelpingAI-3B-v2 is a state-of-the-art large language model specializing in emotionally intelligent conversation. With advanced emotional understanding capabilities,... | [] | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-summ
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "t5-summ", "results": []}]} | suneeln-duke/t5-summ | null | [
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| t5-summ
=======
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0871
* Rouge1: 0.1961
* Rouge2: 0.099
* Rougel: 0.1691
* Rougelsum: 0.1691
* Gen Len: 19.0
Model description
-----------------
More information needed
Intend... | [
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null | transformers |
# Uploaded model
- **Developed by:** deepanshdj
- **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"} | deepanshdj/dj_llama3_ossat1 | null | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method.
### Models Merged
The following models were included in the merge:
* [Resple... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["ResplendentAI/Aura_Uncensored_l3_8B", "ResplendentAI/Aura_Llama3", "ResplendentAI/Aura_Uncensored_l3_8B", "ResplendentAI/Luna_Llama3"]} | jeiku/Test2 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the linear merge method.
### Models Merged
The following models were included in the merge:
* ResplendentAI/Aura_Uncensored_l3_8B + ResplendentAI/Aura_Llama3
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null | transformers | Mamba-2.8b-slimpj is a model using the [Mamba](https://arxiv.org/abs/2312.00752) architecture, with 2.8B parameters, trained for 600B tokens on the SlimPajama dataset.
Model code: https://github.com/state-spaces/mamba/tree/main
To load the model, follow the installation instruction in the code repo, and then:
```
fr... | {"license": "apache-2.0"} | pt-sk/mamba-2.8b-slimpj | null | [
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#transformers #pytorch #arxiv-2312.00752 #license-apache-2.0 #endpoints_compatible #region-us
| Mamba-2.8b-slimpj is a model using the Mamba architecture, with 2.8B parameters, trained for 600B tokens on the SlimPajama dataset.
Model code: URL
To load the model, follow the installation instruction in the code repo, and then:
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text-generation | transformers |
Lunar Llama 3 8b for supporting korean and english (training...) | {"license": "gpl-3.0"} | circulus/Llama-3-Lunar-8B-v0.2 | null | [
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|
!img
Lunar Llama 3 8b for supporting korean and english (training...) | [] | [
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text-generation | transformers |
# Model Card for Model ID
### Model Description
- base model : beomi/llama-2-koen-13b
- dataset : crawling
## 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: hi000000
- Fu... | {"language": ["ko", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["music"]} | hi000000/insta_user1_llama2-koen | null | [
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# Model Card for Model ID
### Model Description
- base model : beomi/llama-2-koen-13b
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null | transformers |
# Uploaded model
- **Developed by:** deepanshdj
- **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"} | deepanshdj/dj_llama3_ossat1_lora | null | [
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# Uploaded model
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- License: apache-2.0
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This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/sad_llama_10.0 | null | [
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# Model Card for Model ID
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# T3Q-LLM-MG-v1.0
## Model Developers Chihoon Lee(chihoonlee10), T3Q
### Python code
```python
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
MODEL_DIR ... | {"license": "apache-2.0", "library_name": "transformers", "datasets": ["maywell/ko_Ultrafeedback_binarized"], "pipeline_tag": "text-generation", "base model": ["yanolja/EEVE-Korean-Instruct-10.8B-v1.0"]} | chihoonlee10/T3Q-LLM-MG-v1.0 | null | [
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| !image/png
T3Q-LLM-MG-v1.0
===============
Model Developers Chihoon Lee(chihoonlee10), T3Q
-----------------------------------------------
### Python code
hf (pretrained=chihoonlee10/T3Q-LLM-MG-v1.0), limit: None, provide\_description: False, num\_fewshot: 0, batch\_size: None
### T3Q-LLM/T3Q-LLM-sft1.0-dpo1... | [
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text-generation | null |
## Llamacpp iMatrix Quantizations of dolphin-2.9-llama3-8b
## This model has been deprecated in favour of the requanted version with tokenizer fixes here: https://huggingface.co/bartowski/dolphin-2.9-llama3-8b-GGUF
This model has the <|eot_id|> token set to not-special, which seems to work better with current infere... | {"license": "other", "tags": ["generated_from_trainer"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-problems... | bartowski/dolphin-2.9-llama3-8b-old-GGUF | null | [
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"dataset:HuggingFaceH4/... | null | 2024-04-21T05:57:38+00:00 | [] | [] | TAGS
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-------------------------------------------------------
This model has been deprecated in favour of the requanted version with tokenizer fixes here: URL
------------------------------------------------------------------------------------------------
This model... | [] | [
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text-generation | transformers | # Aura Uncensored l3
AWQ here: https://huggingface.co/lucyknada/Aura_Uncensored_l3_8B-AWQ
GGUF here: https://huggingface.co/Lewdiculous/Aura_Uncensored_l3_8B-GGUF-IQ-Imatrix
This is the culmination... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": ["Undi95/Llama-3-Unholy-8B", "Undi95/Llama-3-Unholy-8B", "ResplendentAI/Aura_Llama3", "Undi95/Llama-3-Unholy-8B", "ResplendentAI/RP_Format_QuoteAsterisk_Llama3", "Undi95/Llama-3-Unholy-8B", "ResplendentAI/Luna_Llama3", "Undi95/L... | lucyknada/ResplendentAI_Aura_Uncensored_l3_8B-6.0bpw-EXL2 | null | [
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| # Aura Uncensored l3
AWQ here: URL
GGUF here: URL
!image/png
This is the culmination of all my efforts for the Aura line. I have taken the original training data and applied it over Undi95's Unholy base model. This model can and will provide unsafe information and RP. I strongly recommend that you do not use this m... | [
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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. -->
# adeBERT
This model is a fine-tuned version of [google-bert/bert-large-uncased](https://huggingface.co/google-bert/bert-large-unc... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "google-bert/bert-large-uncased", "model-index": [{"name": "adeBERT", "results": []}]} | Jacobberk/adeBERT | null | [
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| adeBERT
=======
This model is a fine-tuned version of google-bert/bert-large-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1700
* F1: 0.9551
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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text-generation | transformers |
# Bud Code Millenials 8B
Welcome to our Code Model repository! Our model is specifically fine-tuned for code generation tasks. Bud Millenial Code Gen open-source models are currently the State of the Art (SOTA) for code generation, beating all the existing models of all sizes. We have achieved a HumanEval value of 8... | {"license": "llama2", "library_name": "transformers", "tags": ["code"], "model-index": [{"name": "Code Millenials", "results": [{"task": {"type": "text-generation"}, "dataset": {"name": "HumanEval", "type": "openai_humaneval"}, "metrics": [{"type": "pass@1", "value": 0.671, "name": "pass@1", "verified": false}]}]}]} | budecosystem/code-millenials-8b | null | [
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| Bud Code Millenials 8B
======================
Welcome to our Code Model repository! Our model is specifically fine-tuned for code generation tasks. Bud Millenial Code Gen open-source models are currently the State of the Art (SOTA) for code generation, beating all the existing models of all sizes. We have achieved a ... | [
"### News\n\n\n* [2024/04/21] We released Code Millenials 8B , which achieves the 67.1 pass@1 on the HumanEval Benchmarks.\n* [2024/01/09] We released Code Millenials 3B , which achieves the 56.09 pass@1 on the HumanEval Benchmarks.\n* [2024/01/09] We released Code Millenials 1B , which achieves the 51.82 pass@1 on... | [
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text-generation | transformers | <p align="left">
<a href="README_CN.md">中文</a>  ｜  English
</p>
<br><br>
<p align="center">
<a href='https://huggingface.co/spaces/zhichen'>
<img src='./images/logo.png'>
</a>
</p>
<div align="center">
<p align="center">
<h3> Llama3-Chinese </h3>
<p align="center">
<a href='https://huggingfac... | {} | zhichen/Llama3-Chinese | null | [
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#transformers #safetensors #llama #text-generation #conversational #arxiv-2402.09353 #arxiv-2402.12354 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
[中文](README_CN.md) ｜  English
### Llama3-Chinese
[<a href=href="URL
<img src="URL
</a>
<a href="URL
<img alt="GitHub Contributors" src="URL />](URL
<img src=)
Introduce
---------
Llama3-Chinese is a large model trained on 500k high-quality Chinese multi-turn SFT data, 100... | [
"### Llama3-Chinese\n\n\n\n[<a href=href=\"URL\n <img src=\"URL\n </a>\n <a href=\"URL\n <img alt=\"GitHub Contributors\" src=\"URL />](URL\n <img src=) \n\n\n\n\n\n\nIntroduce\n---------\n\n\nLlama3-Chinese is a large model trained on 500k high-quality Chinese multi-turn SFT data, 100k English multi-turn S... | [
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"### Llama3-Chinese\n\n\n\n[<a href=href=\"URL\n <img src=\"URL\n </a>\n <a href=\"URL\n <img alt=\"GitHub Contribut... | [
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text-generation | transformers | # Aurora
A more poetic offering with a focus on perfecting the quote/asterisk RP format. I have strengthened the creative writing training.
Make sure your example messages and introduction are form... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers"} | ResplendentAI/Aurora_l3_8B | null | [
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| # Aurora
!image/png
A more poetic offering with a focus on perfecting the quote/asterisk RP format. I have strengthened the creative writing training.
Make sure your example messages and introduction are formatted cirrectly. You must respond in quotes if you want the bot to follow. Thoroughly tested and did not see... | [
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null | null | <p align="left">
<a href="README_CN.md">中文</a>  ｜  English
</p>
<br><br>
<p align="center">
<a href='https://huggingface.co/spaces/zhichen'>
<img src='./images/logo.png'>
</a>
</p>
<div align="center">
<p align="center">
<h3> Llama3-Chinese </h3>
<p align="center">
<a href='https://huggingfac... | {} | zhichen/Llama3-Chinese-Lora | null | [
"safetensors",
"arxiv:2402.09353",
"arxiv:2402.12354",
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#safetensors #arxiv-2402.09353 #arxiv-2402.12354 #region-us
|
[中文](README_CN.md) ｜  English
### Llama3-Chinese
[<a href=href="URL
<img src="URL
</a>
<a href="URL
<img alt="GitHub Contributors" src="URL />](URL
<img src=)
Introduce
---------
Llama3-Chinese is a large model trained on 500k high-quality Chinese multi-turn SFT data, 100... | [
"### Llama3-Chinese\n\n\n\n[<a href=href=\"URL\n <img src=\"URL\n </a>\n <a href=\"URL\n <img alt=\"GitHub Contributors\" src=\"URL />](URL\n <img src=) \n\n\n\n\n\n\nIntroduce\n---------\n\n\nLlama3-Chinese is a large model trained on 500k high-quality Chinese multi-turn SFT data, 100k English multi-turn S... | [
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null | null |
> [!CAUTION]
> **Outdated:** <br>
> Outdaded tokenizer configuration! <br>
> This is only kept for historical purposes, use the newer models instead of this one.
**This is a Llama-3 land now, cowboys!**
"Dolphin time!"
GGUF-IQ-Imatrix quants for [ChaoticNeutrals/Poppy_Porpoise-v0.4-L3-8B](https://huggingface.co/Cha... | {"language": ["en"], "tags": ["roleplay", "llama3", "sillytavern"]} | Lewdiculous/Poppy_Porpoise-v0.4-L3-8B-GGUF-IQ-Imatrix | null | [
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"en"
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#gguf #roleplay #llama3 #sillytavern #en #region-us
|
> [!CAUTION]
> Outdated: <br>
> Outdaded tokenizer configuration! <br>
> This is only kept for historical purposes, use the newer models instead of this one.
This is a Llama-3 land now, cowboys!
"Dolphin time!"
GGUF-IQ-Imatrix quants for ChaoticNeutrals/Poppy_Porpoise-v0.4-L3-8B.
> [!WARNING]
> Recommended presets... | [
"# \"Poppy Porpoise\" is a cutting-edge AI roleplay assistant based on the Llama 3 8B model, specializing in crafting unforgettable narrative experiences. With its advanced language capabilities, Poppy expertly immerses users in an interactive and engaging adventure, tailoring each adventure to their individual pre... | [
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null | peft |
this model fail to follow orignal text
```
<bos><original>ขอ 4 คำให้กับรองเท้าสุดพิเศษที่ดีไซน์มาอย่างหรู</original>
<translate to="en">
The year, the first product in the first product of a new of the first quality and the first and you can be a new new-up.
The 1000 percent in the new-up.
The 110.1 percent in a 10.1... | {"library_name": "peft", "base_model": "unsloth/gemma-7b-bnb-4bit"} | ping98k/gemma-7b-translator-0.1-lora | null | [
"peft",
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"base_model:unsloth/gemma-7b-bnb-4bit",
"region:us"
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#peft #safetensors #base_model-unsloth/gemma-7b-bnb-4bit #region-us
|
this model fail to follow orignal text
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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": []} | hi000000/insta_upnormal-llama-koen_80_final | null | [
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# git-base-pokemon
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|
# git-base-pokemon
This model is a fine-tuned version of microsoft/git-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
T... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [NLPark/Test1_SLIDE](https://huggingface.co/... | {"license": "cc-by-nc-nd-4.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NLPark/Test1_SLIDE", "vicgalle/Configurable-Llama-3-8B-v0.3"]} | Cran-May/Test2_SLIDE | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* NLPark/Test1_SLIDE
* vicgalle/Configurable-Llama-3-8B-v0.3
### Configuration
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text-classification | transformers | Multi-label binary sequence classification model developed by [Dejan Marketing](https://dejanmarketing.com/).
The model is designed to be deployed in an automated pipeline capable of classifying search query intent for thousands (or even millions) of search queries from common data sources such as Google Search Consol... | {"license": "bigscience-openrail-m", "pipeline_tag": "text-classification", "widget": [{"example_title": "Commercial", "text": "custom sports jerseys"}, {"example_title": "Non-Commercial", "text": "health tips"}, {"example_title": "Informational", "text": "is cycling healthy"}, {"example_title": "Navigational", "text":... | dejanseo/Intent-XS | null | [
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#transformers #safetensors #albert #text-classification #license-bigscience-openrail-m #autotrain_compatible #endpoints_compatible #region-us
| Multi-label binary sequence classification model developed by Dejan Marketing.
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"# Engage Our Team\nInterested in using this in an automated pipeline for bulk query processing?\n\nPlease book an appointment to discuss your needs.",
"# Base Model\n\nalbert/albert-base-v2",
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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": []} | BrandonM001/bert-finetuned-ner6 | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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": []} | IntervitensInc/intv_l3_mk9 | 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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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "google/gemma-1.1-2b-it"} | SarwarShafee/gemma-story-generator-finetuned | null | [
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|
# Model Card for Model ID
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### Model Description
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text-to-image | diffusers | ### Jem_Face_4 Dreambooth model trained by mgnarag with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable... | {"license": "creativeml-openrail-m", "tags": ["text-to-image", "stable-diffusion"]} | mgnarag/jem-face-4 | null | [
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| ### Jem_Face_4 Dreambooth model trained by mgnarag with TheLastBen's fast-DreamBooth notebook
Test the concept via A1111 Colab fast-Colab-A1111
Sample pictures of this concept:
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null | null |
```
e88 88e d8
d888 888b 8888 8888 ,"Y88b 888 8e d88
C8888 8888D 8888 8888 "8" 888 888 88b d88888
Y888 888P Y888 888P ,ee 888 888 888 888
"88 88" "88 88" "88 888 888 888 888
b
8b, ... | {"license": "cc-by-nc-4.0", "tags": ["GGUF", "iMat", "llama3"]} | Quant-Cartel/Llama-3-8B-Instruct-DADA-iMat-GGUF | null | [
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"GGUF",
"iMat",
"llama3",
"license:cc-by-nc-4.0",
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#gguf #GGUF #iMat #llama3 #license-cc-by-nc-4.0 #region-us
|
## Llama-3-8B-Instruct-DADA-iMat-GGUF
Quantized from fp16 with love.
* Weighted quantizations were calculated using groups_merged.txt with 105 chunks (recommended amount for this file) and n_ctx=512. Special thanks to jukofyork for sharing this process
For a brief rundown of iMatrix quant performance please see t... | [
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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": []} | dangeaftab/bloom-7b1-lora-tagger | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | klutzybubbles/autotrain-6vfu6-84w1a | null | [
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#transformers #tensorboard #safetensors #autotrain #text-generation-inference #text-generation #peft #conversational #license-other #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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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": []} | Dung125/openai-whisper-small-colab | null | [
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# Model Card for Model ID
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### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | # **Cendol: Open Instruction-tuned Generative Large Language Models for Indonesian Languages**
Cendol is an open-source collection of fine-tuned generative large language models in Indonesian languages covering decoder-only and encoder-decoder transformer model architectures ranging in scale from 300 million to 13 bill... | {"language": ["id", "su", "jv"], "license": "apache-2.0"} | indonlp/cendol | null | [
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| Cendol: Open Instruction-tuned Generative Large Language Models for Indonesian Languages
========================================================================================
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text-generation | transformers |
# yujiepan/Meta-Llama-3-8B-Instruct-awq-w4g64
This model applies AutoAWQ on [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct).
- 4-bit asymmetric weight only quantization
- group_size=64
- calibration set: pileval
## Accuracy
| model | precision | wikitext ppl (↓) |
|-... | {"library_name": "transformers", "tags": []} | yujiepan/Meta-Llama-3-8B-Instruct-awq-w4g64 | null | [
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| yujiepan/Meta-Llama-3-8B-Instruct-awq-w4g64
===========================================
This model applies AutoAWQ on meta-llama/Meta-Llama-3-8B-Instruct.
* 4-bit asymmetric weight only quantization
* group\_size=64
* calibration set: pileval
Accuracy
--------
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sentence-similarity | sentence-transformers |
# svjack/bge-small-qq-qa
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 512 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes ... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | svjack/bge-small-qq-qa | null | [
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|
# svjack/bge-small-qq-qa
This is a sentence-transformers model: It maps sentences & paragraphs to a 512 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | heyllm234/sc54 | null | [
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null | transformers |
# Uploaded model
- **Developed by:** SGKang
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | SGKang/lora_llama3 | null | [
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|
# Uploaded model
- Developed by: SGKang
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Yasusan/TinyLlama_sft_ja_en_high_0421 | 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-to-image | null |
## Porn_Productivity
<img src="https://via.placeholder.com/468x300?text=App+Screenshot+Here" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This lora model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details - This is a Lora that integrates various erotic concepts witho... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/Porn_Productivity | null | [
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| Porn\_Productivity
------------------
<img src="URL alt="Generated on Image Pipeline" style="border-radius: 10px;">
This lora model is uploaded on URL
Model details - This is a Lora that integrates various erotic concepts without watermarks(No need to add "watermark" or "signature" to negative prompts.), maintain... | [
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"### Feedback\n\n\nIf you have any feedback, please reach out to us at hello@URL",
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text-to-image | diffusers | ### 薯塔 on Stable Diffusion via Dreambooth
#### model by HenryZeng
This your the Stable Diffusion model fine-tuned the 薯塔 concept taught to Stable Diffusion with Dreambooth.
It can be used by modifying the `instance_prompt`: **<薯塔> building**
You can also train your own concepts and upload them to the library by using ... | {"license": "creativeml-openrail-m", "tags": ["text-to-image"]} | HenryZeng/CUHKSZ-shu-ta | null | [
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| ### 薯塔 on Stable Diffusion via Dreambooth
#### model by HenryZeng
This your the Stable Diffusion model fine-tuned the 薯塔 concept taught to Stable Diffusion with Dreambooth.
It can be used by modifying the 'instance_prompt': <薯塔> building
You can also train your own concepts and upload them to the library by using this... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num_frame_10_myViT2window2_more_data_b4
This model is a fine-tuned vers... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/timesformer-base-finetuned-k400", "model-index": [{"name": "timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num_frame_10_myViT2window2_more_data_b4", "results": []}]} | JackWong0911/timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num_frame_10_myViT2window2_more_data_b4 | null | [
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| timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num\_frame\_10\_myViT2window2\_more\_data\_b4
======================================================================================================
This model is a fine-tuned version of facebook/timesformer-base-finetuned-k400 on an unknown dataset.
It achieve... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [dreamgen/opus-v1.2-llama-3-8b](https://hugg... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["dreamgen/opus-v1.2-llama-3-8b", "johanteekens/Meta-Llama-3-8B-function-calling"]} | allknowingroger/Llama3merge5 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* dreamgen/opus-v1.2-llama-3-8b
* johanteekens/Meta-Llama-3-8B-function-calling
##... | [
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text-to-image | diffusers |
# Smaple Images From Model
NB: Remeber to Add (<'outline-icon'>) at the end of your prompts [please remove the quotes and retain only the angled brackets😅]. Adding this to the end of each prompt allows you to access the facilities of the pretrained model
[<img src="https://utfs.io/f/e5ac9741-0a34-4300-b045-61c51c9... | {"language": ["en"], "license": "openrail", "pipeline_tag": "text-to-image"} | mathiaslawson/web-icons | null | [
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# Smaple Images From Model
NB: Remeber to Add (<'outline-icon'>) at the end of your prompts [please remove the quotes and retain only the angled brackets]. Adding this to the end of each prompt allows you to access the facilities of the pretrained model
<img src="URL width="112px" height="112px">
a icon of cat<outl... | [
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null | null |
# Model Card for NeuralTranslate
<!-- Provide a quick summary of what the model is/does. -->
THIS MODEL USES CHATML TEMPLATE!! BE CAREFUL OR YOU MIGHT FIND UNEXPECTED BEHAVIOURS.
This is the secon... | {"language": ["en", "es"], "license": "mit", "tags": ["Translation", "Mistral", "English", "Spanish"], "datasets": ["Thermostatic/ShareGPT_NeuralTranslate_v0.1"]} | Thermostatic/NeuralTranslate_v0.2_lora | null | [
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|
!image/png
# Model Card for NeuralTranslate
THIS MODEL USES CHATML TEMPLATE!! BE CAREFUL OR YOU MIGHT FIND UNEXPECTED BEHAVIOURS.
This is the second alpha version of NeuralTranslate. This alpha version doesn't contain overfitting (or at least that's what I think), so no unexpected behaviour should happen and Mist... | [
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null | null |
# LaHacks2024 Submission for LLM Leaderboard
## Model Card
<!-- Provide a quick summary of what the model is/does. -->
This model was trained on a dataset by google, using a linear regression model.
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed ... | {} | DoctorAwak/lahacks2024 | null | [
"region:us"
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#region-us
|
# LaHacks2024 Submission for LLM Leaderboard
## Model Card
This model was trained on a dataset by google, using a linear regression model.
## Model Details
### Model Description
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- Model type: [Linear Regression]
- Language(s) (NLP): [Python]
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This is the first alpha version of NeuralTranslate. It translates bidirectionally to English/Spanish but has some unexpected behaviour due to overfitting.
## Model Details
### Model Description
<!-- Provide a longer summary of w... | {"license": "mit"} | Thermostatic/NeuralTranslate_v0.1_GGUF | null | [
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#transformers #gguf #mistral #arxiv-1910.09700 #license-mit #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
This is the first alpha version of NeuralTranslate. It translates bidirectionally to English/Spanish but has some unexpected behaviour due to overfitting.
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Langu... | [
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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. -->
# hellaswag_lora_llama_r16_2e4_e4_bf16
This model is a fine-tuned version of [yahma/llama-7b-hf](https://huggingface.co/yahma/llam... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "yahma/llama-7b-hf", "model-index": [{"name": "hellaswag_lora_llama_r16_2e4_e4_bf16", "results": []}]} | fangzhaoz/hellaswag_lora_llama_r16_2e4_e4_bf16 | null | [
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# hellaswag_lora_llama_r16_2e4_e4_bf16
This model is a fine-tuned version of yahma/llama-7b-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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text-generation | transformers |
Lunar Llama 3 8b for supporting korean and english (training...) | {"license": "gpl-3.0"} | circulus/Llama-3-Lunar-8B-v0.1 | null | [
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!img
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## 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 generate... | {"library_name": "transformers", "tags": []} | fangzhaoz/hellaswag_lora_llama_r16_2e4_e4_bf16_merged | null | [
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# mistralv1_dora_r4_1e-4_e5
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mis... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistralv1_dora_r4_1e-4_e5", "results": []}]} | fangzhaoz/mistralv1_dora_r4_1e-4_e5 | null | [
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# mistralv1_dora_r4_1e-4_e5
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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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": []} | fangzhaoz/mistralv1_dora_r4_1e-4_e5_merged | null | [
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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. -->
# 0.0_ablation_sample1_4iters_bs256_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggi... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.0_ablation_sample1_4iters_bs256_iter_1", "results": []}]} | ZhangShenao/0.0_ablation_sample1_4iters_bs256_iter_1 | null | [
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# 0.0_ablation_sample1_4iters_bs256_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
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More information needed
## Intended uses & limitations
More information needed
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text-generation | transformers | ## **Poppy_Porpoise-v0.4-L3-8B**
[exllamav2](https://github.com/turboderp/exllamav2) quant for [ChaoticNeutrals/Poppy_Porpoise-v0.4-L3-8B](https://huggingface.co/ChaoticNeutrals/Poppy_Porpoise-v0.4-L3-8B)
**Original model information:**
# "Poppy Porpoise" is a cutting-edge AI roleplay assistant based on the Llama 3 8... | {"language": ["en"], "tags": ["llama3"], "base_model": ["ChaoticNeutrals/Poppy_Porpoise-v0.4-L3-8B"], "inference": false} | Slvcxc/Poppy_Porpoise-v0.4-L3-8B-8.0bpw-h8-exl2 | null | [
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| ## Poppy_Porpoise-v0.4-L3-8B
exllamav2 quant for ChaoticNeutrals/Poppy_Porpoise-v0.4-L3-8B
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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
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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 generate... | {"library_name": "transformers", "tags": []} | AfnanTS/SEQ_CLS_bert-base-multilingual-cased | null | [
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null | transformers |
# Model Card for Model ID
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text-generation | transformers |
# Model Card
<p align="center">
<img src="./icon.png" alt="Logo" width="350">
</p>
📖 [Technical report](https://arxiv.org/abs/2402.11530) | 🏠 [Code](https://github.com/BAAI-DCAI/Bunny) | 🐰 [3B Demo](https://wisemodel.cn/spaces/baai/Bunny) | 🐰 [8B Demo](https://3965a2c066917e96a2.gradio.live/)
This is Bunny-Ll... | {"license": "apache-2.0", "inference": false} | BAAI/Bunny-Llama-3-8B-V | null | [
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"custom_code",
"arxiv:2402.11530",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-21T06:57:37+00:00 | [
"2402.11530"
] | [] | TAGS
#transformers #safetensors #bunny-llama #text-generation #conversational #custom_code #arxiv-2402.11530 #license-apache-2.0 #autotrain_compatible #region-us
|
# Model Card
<p align="center">
<img src="./URL" alt="Logo" width="350">
</p>
Technical report | Code | 3B Demo | 8B Demo
This is Bunny-Llama-3-8B-V.
Bunny is a family of lightweight but powerful multimodal models. It offers multiple plug-and-play vision encoders, like EVA-CLIP, SigLIP and language backbones... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | tomaszkowalski/LunarLander | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-21T06:58:08+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Mix... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "mistralai/Mixtral-8x22B-Instruct-v0.1", "quantized_by": "mradermacher"} | mradermacher/Mixtral-8x22B-Instruct-v0.1-GGUF | null | [
"transformers",
"en",
"base_model:mistralai/Mixtral-8x22B-Instruct-v0.1",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T06:58:15+00:00 | [] | [
"en"
] | TAGS
#transformers #en #base_model-mistralai/Mixtral-8x22B-Instruct-v0.1 #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/NotAiLOL/Knight-Mixtral-WizardLM-140B-MoE
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "NotAiLOL/Knight-Mixtral-WizardLM-140B-MoE", "quantized_by": "mradermacher"} | mradermacher/Knight-Mixtral-WizardLM-140B-MoE-GGUF | null | [
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"mergekit",
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"en"
] | TAGS
#transformers #mergekit #merge #en #base_model-NotAiLOL/Knight-Mixtral-WizardLM-140B-MoE #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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] |
text-generation | transformers |
# 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... | {"license": "apache-2.0", "library_name": "transformers"} | chlee10/T3Q-Mistral-Orca-Math-dpo-v2.0 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"arxiv:1910.09700",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"1910.09700"
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#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #license-apache-2.0 #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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- Shared by [optional]:
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null | mlx |
# mlx-community/dolphin-2.9-llama3-8b-4bit-mlx
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.9-llama3-8b`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b) for more details on the model.
## Use with... | {"license": "other", "tags": ["generated_from_trainer", "mlx"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-p... | mlx-community/dolphin-2.9-llama3-8b-4bit-mlx | null | [
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"safetensors",
"llama",
"generated_from_trainer",
"dataset:cognitivecomputations/Dolphin-2.9",
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"dataset:m-a-p/CodeFeedback-Filtered-Instruction",
"dataset:cognitivecomputations/dolphin-coder",
"dataset:cognitivecomputations/samantha-data",
"dataset:HuggingF... | null | 2024-04-21T07:01:30+00:00 | [] | [] | TAGS
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# mlx-community/dolphin-2.9-llama3-8b-4bit-mlx
This model was converted to MLX format from ['cognitivecomputations/dolphin-2.9-llama3-8b']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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text-to-image | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | Niggendar/RealPony_cuteJPFixedNo03 | null | [
"diffusers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | null | 2024-04-21T07:03:17+00:00 | [
"1910.09700"
] | [] | TAGS
#diffusers #safetensors #arxiv-1910.09700 #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a diffusers 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):
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text-generation | transformers |
<br>
<br>
# LLaVA Model Card
## Model details
**Model type:**
LLaVA is an open-source chatbot trained by fine-tuning LLM on multimodal instruction-following data.
It is an auto-regressive language model, based on the transformer architecture.
Base LLM: [lmsys/vicuna-7b-v1.5](https://huggingface.co/lmsys/vicuna-7b-v... | {"inference": false} | romilshah16/llava-v1.6-vicuna-7b | null | [
"transformers",
"safetensors",
"llava",
"text-generation",
"autotrain_compatible",
"region:us"
] | null | 2024-04-21T07:05:09+00:00 | [] | [] | TAGS
#transformers #safetensors #llava #text-generation #autotrain_compatible #region-us
|
<br>
<br>
# LLaVA Model Card
## Model details
Model type:
LLaVA is an open-source chatbot trained by fine-tuning LLM on multimodal instruction-following data.
It is an auto-regressive language model, based on the transformer architecture.
Base LLM: lmsys/vicuna-7b-v1.5
Model date:
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