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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | Kommunarus/dqn-SpaceInvadersNoFrameskip-v4 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-16T11:35:57+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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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. -->
# ruBert-base-sberquad-0.01-len_3-filtered-negative
This model is a fine-tuned version of [ai-forever/ruBert-base](https://hugging... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.01-len_3-filtered-negative", "results": []}]} | Shalazary/ruBert-base-sberquad-0.01-len_3-filtered-negative | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:ai-forever/ruBert-base",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T11:37:15+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us
|
# ruBert-base-sberquad-0.01-len_3-filtered-negative
This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proce... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | Narednra/MultiQandAtinylalma2 | null | [
"peft",
"safetensors",
"llama",
"region:us"
] | null | 2024-04-16T11:38:08+00:00 | [] | [] | TAGS
#peft #safetensors #llama #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_1-seqsight_16384_512_34M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_34M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_34M", "model-index": [{"name": "GUE_mouse_1-seqsight_16384_512_34M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_1-seqsight_16384_512_34M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_16384_512_34M",
"region:us"
] | null | 2024-04-16T11:39:24+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_34M #region-us
| GUE\_mouse\_1-seqsight\_16384\_512\_34M-L32\_all
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_34M on the mahdibaghbanzadeh/GUE\_mouse\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4774
* F1 Score: 0.80... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_4-seqsight_16384_512_34M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_34M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_34M", "model-index": [{"name": "GUE_mouse_4-seqsight_16384_512_34M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_4-seqsight_16384_512_34M-L32_all | null | [
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"safetensors",
"generated_from_trainer",
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_34M #region-us
| GUE\_mouse\_4-seqsight\_16384\_512\_34M-L32\_all
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_34M on the mahdibaghbanzadeh/GUE\_mouse\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2933
* F1 Score: 0.57... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Reynaerde-7B
This model is a fine-tuned version of [mistral-community/Mistral-7B-v0.2](https://huggingface.co/mistral-community/... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["rebatch/ultrachat_200k_nl_v1"], "base_model": "mistral-community/Mistral-7B-v0.2", "model-index": [{"name": "Reynaerde-7B", "results": []}]} | vandeju/Reynaerde-7B | null | [
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"base_model:mistral-community/Mistral-7B-v0.2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T11:42:53+00:00 | [] | [] | TAGS
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| Reynaerde-7B
============
This model is a fine-tuned version of mistral-community/Mistral-7B-v0.2 on the rebatch/ultrachat\_200k\_nl\_v1 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1054
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: 3\n* eval\\_batch\\_size: 6\n* seed: 42\n* distributed\\_type: multi-GPU\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 12\n* optimizer: Adam wi... | [
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text-to-image | null |
## PornMaster
<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 - "Ejaculation" is recommended to be used with lora who have a comple... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/PornMaster | null | [
"imagepipeline",
"imagepipeline.io",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-16T11:44:55+00:00 | [] | [] | TAGS
#imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #region-us
| PornMaster
----------
<img src="URL alt="Generated on Image Pipeline" style="border-radius: 10px;">
This lora model is uploaded on URL
Model details - "Ejaculation" is recommended to be used with lora who have a complete penis appearing in the picture, in order to increase the success rate of a good penis.
2024... | [
"### API Reference",
"#### Generate Image\n\n\n\n\n\n\n---\n\n\nlicense: creativeml-openrail-m\ntags:\n\n\n* imagepipeline\n* URL\n* text-to-image\n* ultra-realistic\npinned: false\npipeline\\_tag: text-to-image\n\n\n\n\n---",
"### Feedback\n\n\nIf you have any feedback, please reach out to us at hello@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
### 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": []} | cilantro9246/bhfmdqu | null | [
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"safetensors",
"stablelm",
"text-generation",
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"arxiv:1910.09700",
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_3-seqsight_16384_512_34M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_34M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_34M", "model-index": [{"name": "GUE_mouse_3-seqsight_16384_512_34M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_3-seqsight_16384_512_34M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_16384_512_34M",
"region:us"
] | null | 2024-04-16T11:45:15+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_34M #region-us
| GUE\_mouse\_3-seqsight\_16384\_512\_34M-L32\_all
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_34M on the mahdibaghbanzadeh/GUE\_mouse\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 3.6502
* F1 Score: 0.69... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 1536\n* eval\\_batch\\_size: 1536\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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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... | rwr20/240416_RR_ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-16T11:47:42+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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] |
text-to-image | null |
## POV-Blowjob-Creampie-LoRA
<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 LoRA is for creating "POV" and "side view" blow... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/POV-Blowjob-Creampie-LoRA | null | [
"imagepipeline",
"imagepipeline.io",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-16T11:49:40+00:00 | [] | [] | TAGS
#imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #region-us
| POV-Blowjob-Creampie-LoRA
-------------------------
<img src="URL alt="Generated on Image Pipeline" style="border-radius: 10px;">
This lora model is uploaded on URL
Model details - This LoRA is for creating "POV" and "side view" blowjob images with cum-in-mouth functionality as well as deepthroats.
![Try this m... | [
"### API Reference",
"#### Generate Image\n\n\n\n\n\n\n---\n\n\nlicense: creativeml-openrail-m\ntags:\n\n\n* imagepipeline\n* URL\n* text-to-image\n* ultra-realistic\npinned: false\npipeline\\_tag: text-to-image\n\n\n\n\n---",
"### Feedback\n\n\nIf you have any feedback, please reach out to us at hello@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. -->
# pythia-1b-2024-04-16-13-51-p4yN3
This model is a fine-tuned version of [EleutherAI/pythia-1b](https://huggingface.co/EleutherAI/... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "EleutherAI/pythia-1b", "model-index": [{"name": "pythia-1b-2024-04-16-13-51-p4yN3", "results": []}]} | frenkd/pythia-1b-2024-04-16-13-51-p4yN3 | null | [
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"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:EleutherAI/pythia-1b",
"license:apache-2.0",
"region:us"
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#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-EleutherAI/pythia-1b #license-apache-2.0 #region-us
|
# pythia-1b-2024-04-16-13-51-p4yN3
This model is a fine-tuned version of EleutherAI/pythia-1b on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Trai... | [
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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. -->
# pythia-410m-2024-04-16-13-51-vXQaz
This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggingface.co/Eleuthe... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "EleutherAI/pythia-410m", "model-index": [{"name": "pythia-410m-2024-04-16-13-51-vXQaz", "results": []}]} | frenkd/pythia-410m-2024-04-16-13-51-vXQaz | null | [
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"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:EleutherAI/pythia-410m",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T11:51:11+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-EleutherAI/pythia-410m #license-apache-2.0 #region-us
|
# pythia-410m-2024-04-16-13-51-vXQaz
This model is a fine-tuned version of EleutherAI/pythia-410m on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tr... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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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. -->
# pythia-410m-2024-04-16-13-51-UDGvo
This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggingface.co/Eleuthe... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "EleutherAI/pythia-410m", "model-index": [{"name": "pythia-410m-2024-04-16-13-51-UDGvo", "results": []}]} | frenkd/pythia-410m-2024-04-16-13-51-UDGvo | null | [
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"trl",
"sft",
"generated_from_trainer",
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"base_model:EleutherAI/pythia-410m",
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"region:us"
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#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-EleutherAI/pythia-410m #license-apache-2.0 #region-us
|
# pythia-410m-2024-04-16-13-51-UDGvo
This model is a fine-tuned version of EleutherAI/pythia-410m on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tr... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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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. -->
# phi-1_5-2024-04-16-13-51-ueg2C
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-2024-04-16-13-51-ueg2C", "results": []}]} | frenkd/phi-1_5-2024-04-16-13-51-ueg2C | null | [
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"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:microsoft/phi-1_5",
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] | null | 2024-04-16T11:51:15+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-microsoft/phi-1_5 #license-mit #region-us
|
# phi-1_5-2024-04-16-13-51-ueg2C
This model is a fine-tuned version of microsoft/phi-1_5 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hy... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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null | null |
# Antler-7B-RP-v2-GGUF
## 概要
[Aratako/Antler-7B-RP](https://huggingface.co/Aratako/Antler-7B-RP-v2)の量子化済みGGUF版です。ライセンス等詳細は元モデルをご確認ください。 | {"language": ["ja"], "license": "apache-2.0", "tags": ["not-for-all-audiences", "nsfw"], "datasets": ["grimulkan/LimaRP-augmented", "Aratako/Rosebleu-1on1-Dialogues-RP"], "base_model": ["Aratako/Antler-7B-RP-v2"]} | Aratako/Antler-7B-RP-v2-GGUF | null | [
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"base_model:Aratako/Antler-7B-RP-v2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T11:53:24+00:00 | [] | [
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|
# Antler-7B-RP-v2-GGUF
## 概要
Aratako/Antler-7B-RPの量子化済みGGUF版です。ライセンス等詳細は元モデルをご確認ください。 | [
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] |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral_envs_claim
This model is a fine-tuned version of [TheBloke/zephyr-7B-alpha-GPTQ](https://huggingface.co/TheBloke/zephyr-... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "TheBloke/zephyr-7B-alpha-GPTQ", "model-index": [{"name": "mistral_envs_claim", "results": []}]} | Haimee/mistral_envs_claim | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:TheBloke/zephyr-7B-alpha-GPTQ",
"license:mit",
"region:us"
] | null | 2024-04-16T11:53:31+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-TheBloke/zephyr-7B-alpha-GPTQ #license-mit #region-us
|
# mistral_envs_claim
This model is a fine-tuned version of TheBloke/zephyr-7B-alpha-GPTQ on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpa... | [
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"## Training and evaluation data\n\nMore information needed",
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null | null |
### How to use
###
```
from transformers import LlamaTokenizerFast
tokenizer = LlamaTokenizerFast.from_pretrained("mimir-project/tokenizer", token=True)
```
or
```
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("mimir-project/tokenizer", token=True)
```
Copied from https://github.co... | {"license": "apache-2.0"} | mimir-project/mimir-tokenizer-base | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T11:54:44+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
### How to use
###
or
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text-generation | transformers |
# rinna-3.6-dare0
line-3.6b-dare1 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [rinna/japanese-gpt-neox-3.6b-instruction-sft-v2](https://huggingface.co/rinna/japanese-gpt-neox-3.6b-instruction-sft-v2)
* [rinna/japanes... | {"tags": ["merge", "mergekit", "lazymergekit", "rinna/japanese-gpt-neox-3.6b-instruction-sft-v2", "rinna/japanese-gpt-neox-3.6b"], "base_model": ["rinna/japanese-gpt-neox-3.6b-instruction-sft-v2", "rinna/japanese-gpt-neox-3.6b"]} | aipib/rinna-3.6-dare0 | null | [
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"safetensors",
"gpt_neox",
"text-generation",
"merge",
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"lazymergekit",
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"base_model:rinna/japanese-gpt-neox-3.6b-instruction-sft-v2",
"base_model:rinna/japanese-gpt-neox-3.6b",
"autotr... | null | 2024-04-16T11:55:19+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt_neox #text-generation #merge #mergekit #lazymergekit #rinna/japanese-gpt-neox-3.6b-instruction-sft-v2 #rinna/japanese-gpt-neox-3.6b #base_model-rinna/japanese-gpt-neox-3.6b-instruction-sft-v2 #base_model-rinna/japanese-gpt-neox-3.6b #autotrain_compatible #endpoints_compatible #text-... |
# rinna-3.6-dare0
line-3.6b-dare1 is a merge of the following models using LazyMergekit:
* rinna/japanese-gpt-neox-3.6b-instruction-sft-v2
* rinna/japanese-gpt-neox-3.6b
## Configuration
## Usage
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# working
This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on a... | {"license": "llama2", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "codellama/CodeLlama-7b-hf", "model-index": [{"name": "working", "results": []}]} | Surabhi-K/working | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:codellama/CodeLlama-7b-hf",
"license:llama2",
"region:us"
] | null | 2024-04-16T11:55:22+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-codellama/CodeLlama-7b-hf #license-llama2 #region-us
| working
=======
This model is a fine-tuned version of codellama/CodeLlama-7b-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1536
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 3\n* eval\\_batch\\_size: 3\n* seed: 42\n* gradient\\_accumulation\\_steps: 5\n* total\\_train\\_batch\\_size: 15\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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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. -->
# results
This model is a fine-tuned version of [cyh002/DISTILBERT-IMDB-HUGGINGFACE](https://huggingface.co/cyh002/DISTILBERT-IMDB... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "cyh002/DISTILBERT-IMDB-HUGGINGFACE", "model-index": [{"name": "results", "results": []}]} | cyh002/results | null | [
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"base_model:cyh002/DISTILBERT-IMDB-HUGGINGFACE",
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|
# results
This model is a fine-tuned version of cyh002/DISTILBERT-IMDB-HUGGINGFACE 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 hyperparame... | [
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - kuei1026/3d-icon-sdxl-dora
<Gallery />
## Model description
### These are kuei1026/3d-icon-sdxl-dora LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- **LoRA**: download **[`3d-icon... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "widget": [{"text": "a <s0><s1> icon of an astronaut riding a horse, in the style of <s0><s1>", "output": {"url": "image_0.png"}}, {"text": "a <s0><s1> icon of an astrona... | kuei1026/3d-icon-sdxl-dora | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-16T11:58:23+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - kuei1026/3d-icon-sdxl-dora
<Gallery />
## Model description
### These are kuei1026/3d-icon-sdxl-dora LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- LoRA: download '3d-icon-sdxl-d... | [
"# SDXL LoRA DreamBooth - kuei1026/3d-icon-sdxl-dora\n\n<Gallery />",
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"### These are kuei1026/3d-icon-sdxl-dora LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.",
"## Download model",
"### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke\n\n- LoRA: ... | [
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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. -->
# intent-finetuned-intent-detection
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "bert-base-cased", "model-index": [{"name": "intent-finetuned-intent-detection", "results": []}]} | HowMannyMore/bert-intent-amazon | null | [
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"base_model:bert-base-cased",
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"endpoints_compatible",
"region:us"
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| intent-finetuned-intent-detection
=================================
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6938
* Accuracy: 0.8638
* F1: 0.8593
Model description
-----------------
More information needed
I... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5\n* mixed\\_pre... | [
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null | null | Urocin ক্যাপসুল কি?
Urocin ট্যাবলেট হল একটি বিশেষ খাদ্যতালিকাগত সম্পূরক যা পুরুষদের প্রোস্টেট স্বাস্থ্যকে সমর্থন করার জন্য সতর্কতার সাথে তৈরি করা হয়েছে। প্রোস্টেট ফাংশন এবং মূত্রনালীর স্বাস্থ্যের প্রচারে তাদের কার্যকারিতার জন্য পরিচিত প্রাকৃতিক উপাদানগুলির মিশ্রণের সাথে তৈরি, Urocin পর্যালোচনা এর লক্ষ্য প্রোস্টেট সমস... | {"license": "apache-2.0"} | UrocinBangladesh/UrocinBangladesh | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T12:00:24+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| Urocin ক্যাপসুল কি?
Urocin ট্যাবলেট হল একটি বিশেষ খাদ্যতালিকাগত সম্পূরক যা পুরুষদের প্রোস্টেট স্বাস্থ্যকে সমর্থন করার জন্য সতর্কতার সাথে তৈরি করা হয়েছে। প্রোস্টেট ফাংশন এবং মূত্রনালীর স্বাস্থ্যের প্রচারে তাদের কার্যকারিতার জন্য পরিচিত প্রাকৃতিক উপাদানগুলির মিশ্রণের সাথে তৈরি, Urocin পর্যালোচনা এর লক্ষ্য প্রোস্টেট সমস... | [] | [
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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": []} | idoru/jetmoe-8b-ultrainteract-sft-v4 | null | [
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"safetensors",
"jetmoe",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
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] | null | 2024-04-16T12:01:36+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #jetmoe #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/maldv/hyperdrive-7b-alpha
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show u... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["unsloth", "book"], "base_model": "maldv/hyperdrive-7b-alpha", "quantized_by": "mradermacher"} | mradermacher/hyperdrive-7b-alpha-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers |
# 🌟 Checkout [Taiwan-LLM Demo Chat-UI](http://www.twllm.com) 🌟
# Model Card for Taiwan LLM 8x7B-DPO
Taiwan LLM is an advanced language model tailored for Traditional Chinese, focusing on the ling... | {"language": ["zh"], "license": "apache-2.0", "library_name": "transformers", "widget": [{"text": "A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: \u4f60\u597d\uff0c\u8acb\u554f\u4f60\u53ef\u4ee5\u5e6b\u6211... | ZoneTwelve/Taiwan-LLM-8x7B-DPO-GGUF | null | [
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"text-generation",
"zh",
"arxiv:2311.17487",
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"2311.17487"
] | [
"zh"
] | TAGS
#transformers #gguf #text-generation #zh #arxiv-2311.17487 #license-apache-2.0 #endpoints_compatible #region-us
|
!image/png
# Checkout Taiwan-LLM Demo Chat-UI
# Model Card for Taiwan LLM 8x7B-DPO
Taiwan LLM is an advanced language model tailored for Traditional Chinese, focusing on the linguistic and cultural contexts of Taiwan.
## Model description
- Model type: A 8x7B parameter Mixtral MoE model fine-tuned on a mix of... | [
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null | adapter-transformers |
# Adapter `jgrc3/unipelt_adapter_classification_trained` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness/) dataset and includes a prediction head for classification.
T... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_helpfulness"]} | jgrc3/unipelt_adapter_classification_trained | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_helpfulness",
"region:us"
] | null | 2024-04-16T12:05:49+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness #region-us
|
# Adapter 'jgrc3/unipelt_adapter_classification_trained' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, install 'ad... | [
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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. -->
# working
This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on a... | {"license": "llama2", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "codellama/CodeLlama-7b-hf", "model-index": [{"name": "working", "results": []}]} | Surabhi-K/code_llama_library2 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:codellama/CodeLlama-7b-hf",
"license:llama2",
"region:us"
] | null | 2024-04-16T12:05:54+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-codellama/CodeLlama-7b-hf #license-llama2 #region-us
| working
=======
This model is a fine-tuned version of codellama/CodeLlama-7b-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1536
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 3\n* eval\\_batch\\_size: 3\n* seed: 42\n* gradient\\_accumulation\\_steps: 5\n* total\\_train\\_batch\\_size: 15\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results_modified
This model is a fine-tuned version of [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on the None d... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "tiiuae/falcon-7b", "model-index": [{"name": "results_modified", "results": []}]} | VikrantRamesh/results_modified | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-tiiuae/falcon-7b #license-apache-2.0 #region-us
|
# results_modified
This model is a fine-tuned version of tiiuae/falcon-7b on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The f... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | coralexbadea/llama-2-7b-sql | null | [
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#peft #pytorch #llama #region-us
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The following 'bitsandbytes' quantization config was used during training:
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# idefics2-8b-docvqa-finetuned-tutorial-adding-fake-img-token
This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](ht... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "HuggingFaceM4/idefics2-8b", "model-index": [{"name": "idefics2-8b-docvqa-finetuned-tutorial-adding-fake-img-token", "results": []}]} | nkasmanoff/idefics2-8b-docvqa-finetuned-tutorial-adding-fake-img-token | null | [
"safetensors",
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"base_model:HuggingFaceM4/idefics2-8b",
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"region:us"
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#safetensors #generated_from_trainer #base_model-HuggingFaceM4/idefics2-8b #license-apache-2.0 #region-us
|
# idefics2-8b-docvqa-finetuned-tutorial-adding-fake-img-token
This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## T... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_2-seqsight_16384_512_34M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_34M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_34M", "model-index": [{"name": "GUE_mouse_2-seqsight_16384_512_34M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_2-seqsight_16384_512_34M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_34M #region-us
| GUE\_mouse\_2-seqsight\_16384\_512\_34M-L32\_all
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_34M on the mahdibaghbanzadeh/GUE\_mouse\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6883
* F1 Score: 0.83... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 1536\n* eval\\_batch\\_size: 1536\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_splice_reconstructed-seqsight_16384_512_34M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_34M", "model-index": [{"name": "GUE_splice_reconstructed-seqsight_16384_512_34M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_splice_reconstructed-seqsight_16384_512_34M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_34M #region-us
| GUE\_splice\_reconstructed-seqsight\_16384\_512\_34M-L32\_all
=============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_34M on the mahdibaghbanzadeh/GUE\_splice\_reconstructed dataset.
It achieves the following results on the evaluation... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_0-seqsight_16384_512_34M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_34M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_34M", "model-index": [{"name": "GUE_tf_0-seqsight_16384_512_34M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_0-seqsight_16384_512_34M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_34M #region-us
| GUE\_tf\_0-seqsight\_16384\_512\_34M-L32\_all
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_34M on the mahdibaghbanzadeh/GUE\_tf\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8841
* F1 Score: 0.7045
* Accu... | [
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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-krillin20 | null | [
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null | transformers |
# Uploaded model
- **Developed by:** codesagar
- **License:** apache-2.0
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This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | codesagar/prompt-guard-classification-v4 | null | [
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null | transformers |
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null | null | # Arabic NLP
HuggingFace: https://huggingface.co/rakib72642/Arabic_NLP
sudo apt install iproute2 && sudo apt install wget && sudo apt install unzip && sudo apt install nvtop && sudo apt-get install git-lfs && sudo apt-get update && sudo apt-get install libgl1 && curl -s https://ngrok-agent.s3.amazonaws.com/ngrok.asc ... | {} | rakib72642/Arabic_NLP | null | [
"region:us"
] | null | 2024-04-16T12:20:38+00:00 | [] | [] | TAGS
#region-us
| # Arabic NLP
HuggingFace: URL
sudo apt install iproute2 && sudo apt install wget && sudo apt install unzip && sudo apt install nvtop && sudo apt-get install git-lfs && sudo apt-get update && sudo apt-get install libgl1 && curl -s URL | sudo tee /etc/apt/URL.d/URL >/dev/null && echo "deb URL buster main" | sudo tee /e... | [
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"TAGS\n#region-us \n# Arabic NLP \nHuggingFace: URL\n\nsudo apt install iproute2 && sudo apt install wget && sudo apt install unzip && sudo apt install nvtop && sudo apt-get install git-lfs && sudo apt-get update && sudo apt-get install libgl1 && curl -s URL | sudo tee /etc/apt/URL.d/URL >/dev/null && echo \"deb UR... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tom-brady/sn6_214 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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": []} | jjmstd/ko_arc | null | [
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"text-generation",
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
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"region:us"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | null | HuggingFace: https://huggingface.co/rakib72642/Arabic_OCR
sudo apt install iproute2 && sudo apt install wget && sudo apt install unzip && sudo apt install nvtop && sudo apt-get install git-lfs && sudo apt-get update && sudo apt-get install libgl1 && curl -s https://ngrok-agent.s3.amazonaws.com/ngrok.asc | sudo tee /et... | {} | rakib72642/Arabic_OCR | null | [
"region:us"
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#region-us
| HuggingFace: URL
sudo apt install iproute2 && sudo apt install wget && sudo apt install unzip && sudo apt install nvtop && sudo apt-get install git-lfs && sudo apt-get update && sudo apt-get install libgl1 && curl -s URL | sudo tee /etc/apt/URL.d/URL >/dev/null && echo "deb URL buster main" | sudo tee /etc/apt/URL.d/U... | [
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text-generation | null |
# NikolayKozloff/tweety-7b-italian-Q8_0-GGUF
This model was converted to GGUF format from [`DTAI-KULeuven/tweety-7b-italian`](https://huggingface.co/DTAI-KULeuven/tweety-7b-italian) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model... | {"language": ["it"], "license": "apache-2.0", "tags": ["pretrained", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation", "inference": {"parameters": {"temperature": 0.7}}} | NikolayKozloff/tweety-7b-italian-GGUF | null | [
"gguf",
"pretrained",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"it",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T12:22:02+00:00 | [] | [
"it"
] | TAGS
#gguf #pretrained #llama-cpp #gguf-my-repo #text-generation #it #license-apache-2.0 #region-us
|
# NikolayKozloff/tweety-7b-italian-Q8_0-GGUF
This model was converted to GGUF format from 'DTAI-KULeuven/tweety-7b-italian' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/Undi95/Dawn-v2-70B
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Dawn-v2-70B-GGUF
## Us... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["not-for-all-audiences", "nsfw"], "base_model": "Undi95/Dawn-v2-70B", "quantized_by": "mradermacher"} | mradermacher/Dawn-v2-70B-i1-GGUF | null | [
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"base_model:Undi95/Dawn-v2-70B",
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"endpoints_compatible",
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#transformers #gguf #not-for-all-audiences #nsfw #en #base_model-Undi95/Dawn-v2-70B #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tom-brady/sn6_215 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - linoyts/B-LoRA_Ukiyo-e
<Gallery />
## Model description
These are linoyts/B-LoRA_Ukiyo-e LoRA ... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a [v]", "widget": []} | linoyts/B-LoRA_Ukiyo-e | null | [
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"text-to-image",
"diffusers-training",
"lora",
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"stable-diffusion-xl-diffusers",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
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#diffusers #tensorboard #text-to-image #diffusers-training #lora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - linoyts/B-LoRA_Ukiyo-e
<Gallery />
## Model description
These are linoyts/B-LoRA_Ukiyo-e LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training: None.
... | [
"# SDXL LoRA DreamBooth - linoyts/B-LoRA_Ukiyo-e\n\n<Gallery />",
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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. -->
# Mixtral-8x7B-orpo-en-de
This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mix... | {"tags": ["alignment-handbook", "generated_from_trainer"], "datasets": ["maxidl/distilabel-capybara-dpo-7k-binarized_en_de"], "base_model": "mistralai/Mixtral-8x7B-v0.1", "model-index": [{"name": "Mixtral-8x7B-orpo-en-de", "results": []}]} | maxidl/Mixtral-8x7B-v0.1-capybara-orpo-en-de | null | [
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"base_model:mistralai/Mixtral-8x7B-v0.1",
"autotrain_compatible",
"endpoints_compatible",
... | null | 2024-04-16T12:25:41+00:00 | [] | [] | TAGS
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|
# Mixtral-8x7B-orpo-en-de
This model is a fine-tuned version of mistralai/Mixtral-8x7B-v0.1 on the maxidl/distilabel-capybara-dpo-7k-binarized_en_de dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information nee... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_1-seqsight_16384_512_34M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_34M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_34M", "model-index": [{"name": "GUE_tf_1-seqsight_16384_512_34M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_1-seqsight_16384_512_34M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_16384_512_34M",
"region:us"
] | null | 2024-04-16T12:27:14+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_34M #region-us
| GUE\_tf\_1-seqsight\_16384\_512\_34M-L32\_all
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_34M on the mahdibaghbanzadeh/GUE\_tf\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6060
* F1 Score: 0.7550
* Accu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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null | speechbrain |
<iframe src="https://ghbtns.com/github-btn.html?user=speechbrain&repo=speechbrain&type=star&count=true&size=large&v=2" frameborder="0" scrolling="0" width="170" height="30" title="GitHub"></iframe>
<br/><br/>
# Conformer for KsponSpeech (with Transformer LM)
This repository provides all the necessary tools to perfor... | {"language": "kr", "license": "apache-2.0", "tags": ["ASR", "CTC", "Attention", "Conformer", "pytorch", "speechbrain"], "datasets": ["ksponspeech"], "metrics": ["wer", "cer"]} | ddwkim/asr-conformer-small-transformerlm-ksponspeech | null | [
"speechbrain",
"ASR",
"CTC",
"Attention",
"Conformer",
"pytorch",
"kr",
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"arxiv:2106.04624",
"license:apache-2.0",
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"2106.04624"
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#speechbrain #ASR #CTC #Attention #Conformer #pytorch #kr #dataset-ksponspeech #arxiv-2106.04624 #license-apache-2.0 #region-us
|
Conformer for KsponSpeech (with Transformer LM)
===============================================
This repository provides all the necessary tools to perform automatic speech
recognition from an end-to-end system pretrained on KsponSpeech (Kr) within
SpeechBrain. For a better experience, we encourage you to lea... | [
"### Transcribing your own audio files (in Korean)",
"### Inference on GPU\n\n\nTo perform inference on the GPU, add 'run\\_opts={\"device\":\"cuda\"}' when calling the 'from\\_hparams' method.\n\n\nParallel Inference on a Batch\n-----------------------------\n\n\nPlease, see this Colab notebook on using the pret... | [
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null | transformers |
# Uploaded model
- **Developed by:** codesagar
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | codesagar/prompt-guard-reasoning-v5 | null | [
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# Uploaded model
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null | transformers |
# Uploaded model
- **Developed by:** codesagar
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | codesagar/prompt-guard-classification-v5 | null | [
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# Uploaded model
- Developed by: codesagar
- License: apache-2.0
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This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
First version of the fine tuned llama 2 13B.
Trained on Sinergia's workstation (mounting a Nvidia RTX 4080 super).
Train configuration:
-----
model_name: "NousResearch/Llama-2-13b-chat-hf"
dataset_name: "sinergiaepc/Insta360_pro2_2024_04_05"
new_model: "sinergiaepc/llama2-7b_2024-04-16"
qlora_paramet... | {"datasets": ["sinergiaepc/Insta360_pro2_2024_04_05"]} | sinergiaepc/llama2-13b_2024-04-16 | null | [
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#transformers #pytorch #llama #text-generation #dataset-sinergiaepc/Insta360_pro2_2024_04_05 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
First version of the fine tuned llama 2 13B.
Trained on Sinergia's workstation (mounting a Nvidia RTX 4080 super).
Train configuration:
-----
model_name: "NousResearch/Llama-2-13b-chat-hf"
dataset_name: "sinergiaepc/Insta360_pro2_2024_04_05"
new_model: "sinergiaepc/llama2-7b_2024-04-16"
qlora_paramet... | [
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null | null | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/codegemma-7b-it-GGUF-smashed | null | [
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#gguf #pruna-ai #region-us
|
[](URL target=)
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL
Simply make AI models cheaper, smaller, faster, and greener!
============================================================
* Give a thumbs up if you like this model!
* Contact us and tell us which model to compress n... | [
"### How to load this model in Python code, using llama-cpp-python\n\nFor full documentation, please see: llama-cpp-python docs.",
"#### First install the package\n\nRun one of the following commands, according to your system:",
"#### Simple llama-cpp-python example code\n\n```\n\n* Option D - Running with Lang... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_4-seqsight_16384_512_34M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_34M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_34M", "model-index": [{"name": "GUE_tf_4-seqsight_16384_512_34M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_4-seqsight_16384_512_34M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_34M #region-us
| GUE\_tf\_4-seqsight\_16384\_512\_34M-L32\_all
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_34M on the mahdibaghbanzadeh/GUE\_tf\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0156
* F1 Score: 0.7200
* Accu... | [
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... | [
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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": []} | arianhosseini/sample_gen | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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": []} | arianhosseini/sample_ver | 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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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-car0003-test0.2
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-car0003-test0.2", "results": [{"task": {"type": "image-classification", "name": "Im... | tsware/swin-tiny-patch4-window7-224-finetuned-car0003-test0.2 | null | [
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| swin-tiny-patch4-window7-224-finetuned-car0003-test0.2
======================================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0052
* Accuracy: 1.0
Model descr... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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. -->
# kalai_fine_tuned_model_3
This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "albert/albert-base-v2", "model-index": [{"name": "kalai_fine_tuned_model_3", "results": []}]} | KalaiselvanD/kalai_fine_tuned_model_3 | null | [
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| kalai\_fine\_tuned\_model\_3
============================
This model is a fine-tuned version of albert/albert-base-v2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2730
* Accuracy: 0.9369
Model description
-----------------
More information needed
Intended uses & li... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
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text-generation | transformers |
# mamba-2.8b-GGUF
Quantized mamba-2.8b models using recent versions of llama.cpp.
| {"library_name": "transformers", "model_name": "mamba-2.8b", "base_model": "state-spaces/mamba-2.8b-hf", "pipeline_tag": "text-generation", "model_creator": "state-spaces", "model_type": "MambaForCausalLM", "inference": false} | jpodivin/mamba-2.8b-hf-GGUF | null | [
"transformers",
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"text-generation",
"base_model:state-spaces/mamba-2.8b-hf",
"region:us"
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#transformers #gguf #text-generation #base_model-state-spaces/mamba-2.8b-hf #region-us
|
# mamba-2.8b-GGUF
Quantized mamba-2.8b models using recent versions of URL.
| [
"# mamba-2.8b-GGUF\n\nQuantized mamba-2.8b models using recent versions of URL."
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] |
text-generation | transformers |
# twewy DialogGPT Model | {"language": ["en"], "license": "mit", "tags": ["conversational", "text-generation-inference", "gpt"], "pipeline_tag": "text-generation"} | dorothylilian/Joshua-Twewy-DialogGPT | null | [
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|
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null | transformers |
# Uploaded model
- **Developed by:** codesagar
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | codesagar/prompt-guard-reasoning-v6 | null | [
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|
# Uploaded model
- Developed by: codesagar
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers |
# Uploaded model
- **Developed by:** codesagar
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | codesagar/prompt-guard-classification-v6 | null | [
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|
# Uploaded model
- Developed by: codesagar
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_3-seqsight_16384_512_34M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_34M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_34M", "model-index": [{"name": "GUE_tf_3-seqsight_16384_512_34M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_3-seqsight_16384_512_34M-L32_all | null | [
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"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_16384_512_34M",
"region:us"
] | null | 2024-04-16T12:38:28+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_34M #region-us
| GUE\_tf\_3-seqsight\_16384\_512\_34M-L32\_all
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_34M on the mahdibaghbanzadeh/GUE\_tf\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7878
* F1 Score: 0.6185
* Accu... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** khursani8
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl", "sft"], "base_model": "unsloth/gemma-2b-bnb-4bit"} | khursani8/model | null | [
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] | null | 2024-04-16T12:38:57+00:00 | [] | [
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|
# Uploaded model
- Developed by: khursani8
- License: apache-2.0
- Finetuned from model : unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | null |
# cybercheems2077/mistral-maths7B-Q4_K_M-GGUF
This model was converted to GGUF format from [`feeltheAGI/mistral-maths7B`](https://huggingface.co/feeltheAGI/mistral-maths7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](ht... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["microsoft/orca-math-word-problems-200k"]} | cybercheems2077/mistral-maths7B-Q4_K_M-GGUF | null | [
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"gguf-my-repo",
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"license:apache-2.0",
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] | null | 2024-04-16T12:42:41+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #dataset-microsoft/orca-math-word-problems-200k #license-apache-2.0 #region-us
|
# cybercheems2077/mistral-maths7B-Q4_K_M-GGUF
This model was converted to GGUF format from 'feeltheAGI/mistral-maths7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Ser... | [
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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. -->
# model_hh_shp4_dpo9
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_hh_shp4_dpo9", "results": []}]} | guoyu-zhang/model_hh_shp4_dpo9 | null | [
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"safetensors",
"trl",
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"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-chat-hf",
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] | null | 2024-04-16T12:43:14+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
| model\_hh\_shp4\_dpo9
=====================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 4.3544
* Rewards/chosen: -5.3458
* Rewards/rejected: -4.3841
* Rewards/accuracies: 0.4600
* Rewards/margins: -0.9617... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 1\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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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. -->
# outputs
This model is a fine-tuned version of [unsloth/gemma-7b-bnb-4bit](https://huggingface.co/unsloth/gemma-7b-bnb-4bit) on a... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "unsloth", "generated_from_trainer", "unsloth", "unsloth", "unsloth", "unsloth", "unsloth", "unsloth"], "base_model": "unsloth/gemma-7b-bnb-4bit", "model-index": [{"name": "outputs", "results": []}]} | deepakdevfocaloid/outputs | null | [
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|
# outputs
This model is a fine-tuned version of unsloth/gemma-7b-bnb-4bit 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
The... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "tiiuae/falcon-7b"} | PrahmodhRaj/Falcon_CN_Finetuned | null | [
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|
# Model Card for Model ID
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### Model Description
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- Funded by [optional]:
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- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# pijarcandra22/NMTIndoBaliT5
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
I... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "t5-small", "model-index": [{"name": "pijarcandra22/NMTIndoBaliT5", "results": []}]} | pijarcandra22/NMTIndoBaliT5 | null | [
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] | null | 2024-04-16T12:52:08+00:00 | [] | [] | TAGS
#transformers #tf #t5 #text2text-generation #generated_from_keras_callback #base_model-t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| pijarcandra22/NMTIndoBaliT5
===========================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.0490
* Validation Loss: 2.6202
* Epoch: 498
Model description
-----------------
More information needed
Intende... | [
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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": []} | m7mdal7aj/fine_tunned_llama_2_13b_chat_OKVQA | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results
This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", "model-index": [{"name": "results", "results": []}]} | amanayush/results | null | [
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #license-apache-2.0 #region-us
|
# results
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 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 |
# 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": []} | hananrh/gemma-2b-quotes | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_2-seqsight_16384_512_34M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_34M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_34M", "model-index": [{"name": "GUE_tf_2-seqsight_16384_512_34M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_2-seqsight_16384_512_34M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_34M #region-us
| GUE\_tf\_2-seqsight\_16384\_512\_34M-L32\_all
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_34M on the mahdibaghbanzadeh/GUE\_tf\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1053
* F1 Score: 0.6779
* Accu... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_300_tata-seqsight_16384_512_56M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_51... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_56M", "model-index": [{"name": "GUE_prom_prom_300_tata-seqsight_16384_512_56M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_tata-seqsight_16384_512_56M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_56M #region-us
| GUE\_prom\_prom\_300\_tata-seqsight\_16384\_512\_56M-L32\_all
=============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_56M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_tata dataset.
It achieves the following results on the evaluation... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | QuantumInstability/ppo-SnowballTarget | null | [
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#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tuto... | [
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 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 easy when... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | mncai/EZCT_BGEM3_EMBEDDING | null | [
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|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 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:
Then you can ... | [
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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:
* [TheDrummer/Moistral-11B-v2](https://hugging... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["TheDrummer/Moistral-11B-v2", "Sao10K/Fimbulvetr-11B-v2"]} | Tokerss/testmoisfimu | 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:
* TheDrummer/Moistral-11B-v2
* Sao10K/Fimbulvetr-11B-v2
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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": "Qwen/Qwen-VL-Chat"} | trinhxuankhai/origin_o_pedes_appearance | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
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- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
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- Paper [optional]:
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-hf-platypus-lamini-vxxiii-chat-real
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://hugging... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral-7b-hf-platypus-lamini-vxxiii-chat-real", "results": []}]} | NassimB/mistral-7b-hf-platypus-lamini-vxxiii-chat-real | null | [
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|
# mistral-7b-hf-platypus-lamini-vxxiii-chat-real
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proce... | [
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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. -->
# phi-2-tmo
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi-2-tmo", "results": []}]} | rebeccaD/phi-2-tmo | null | [
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"license:mit",
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
|
# phi-2-tmo
This model is a fine-tuned version of microsoft/phi-2 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
The followi... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_300_notata-seqsight_16384_512_56M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_56M", "model-index": [{"name": "GUE_prom_prom_300_notata-seqsight_16384_512_56M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_notata-seqsight_16384_512_56M-L32_all | null | [
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"safetensors",
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_56M #region-us
| GUE\_prom\_prom\_300\_notata-seqsight\_16384\_512\_56M-L32\_all
===============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_56M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_notata dataset.
It achieves the following results on the eval... | [
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text-generation | transformers |
# stablelm-2-1_6b-dare1
rinna-3.6b-dare1 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [stabilityai/stablelm-2-zephyr-1_6b](https://huggingface.co/stabilityai/stablelm-2-zephyr-1_6b)
* [stabilityai/stablelm-2-1_6b-chat... | {"tags": ["merge", "mergekit", "lazymergekit", "stabilityai/stablelm-2-zephyr-1_6b", "stabilityai/stablelm-2-1_6b-chat"], "base_model": ["stabilityai/stablelm-2-zephyr-1_6b", "stabilityai/stablelm-2-1_6b-chat"]} | aipib/stablelm-2-1_6b-dare1 | null | [
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# stablelm-2-1_6b-dare1
rinna-3.6b-dare1 is a merge of the following models using LazyMergekit:
* stabilityai/stablelm-2-zephyr-1_6b
* stabilityai/stablelm-2-1_6b-chat
## Configuration
## Usage
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_core_all-seqsight_16384_512_56M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_51... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_56M", "model-index": [{"name": "GUE_prom_prom_core_all-seqsight_16384_512_56M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_all-seqsight_16384_512_56M-L32_all | null | [
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"safetensors",
"generated_from_trainer",
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_56M #region-us
| GUE\_prom\_prom\_core\_all-seqsight\_16384\_512\_56M-L32\_all
=============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_56M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_all dataset.
It achieves the following results on the evaluation... | [
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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": []} | houssemmoslah/mistral_sql_gen6000_merged | null | [
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null | null |
# Percival_01Shadowm7exp-7B
Percival_01Shadowm7exp-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: AurelPx/Percival_01-7b-slerp
- model: mahiatlinux/ShadowM7... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/Percival_01Shadowm7exp-7B | null | [
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#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# Percival_01Shadowm7exp-7B
Percival_01Shadowm7exp-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-to-image | diffusers | # ai video
<Gallery />
## Download model
[Download](/iorvy2013/videopro/tree/main) them in the Files & versions tab.
| {"license": "cc0-1.0", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "wrench icon", "parameters": {"negative_prompt": "stick"}, "output": {"url": "images/wrench_icon.png"}}, {"text": "game icon", "parameters": {"negative_prompt": "twisted stick"}, "output": ... | iorvy2013/videopro | null | [
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<Gallery />
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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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null | null |
# WizardLM-2-7B based on reupload at lucyknada/microsoft_WizardLM-2-7B
## GGUFs created with an importance matrix (details below)
This is based on a reupload by an alternate source as microsoft deleted the model shortly after release, I will validate checksums after it is released again, to see if MS did any change... | {"license": "apache-2.0", "tags": ["wizardlm", "microsoft", "instruct", "finetune", "gguf", "importance matrix", "imatrix"], "base_model": "lucyknada/microsoft_WizardLM-2-7B", "model-index": [{"name": "Not-WizardLM-2-7B-iMat-GGUF", "results": []}]} | qwp4w3hyb/Not-WizardLM-2-7B-iMat-GGUF | null | [
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|
# WizardLM-2-7B based on reupload at lucyknada/microsoft_WizardLM-2-7B
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Narkantak/TheBloke-Marcoroni-7B-v3-GPTQ-SonakshiV2 | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_core_notata-seqsight_16384_512_56M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_56M", "model-index": [{"name": "GUE_prom_prom_core_notata-seqsight_16384_512_56M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_notata-seqsight_16384_512_56M-L32_all | null | [
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| GUE\_prom\_prom\_core\_notata-seqsight\_16384\_512\_56M-L32\_all
================================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_56M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_notata dataset.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_core_tata-seqsight_16384_512_56M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_5... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_56M", "model-index": [{"name": "GUE_prom_prom_core_tata-seqsight_16384_512_56M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_tata-seqsight_16384_512_56M-L32_all | null | [
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| GUE\_prom\_prom\_core\_tata-seqsight\_16384\_512\_56M-L32\_all
==============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_56M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_tata dataset.
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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. -->
#dataset used: polinaeterna/pokemon-blip-captions
#code
```python
from transformers import AutoProcessor, AutoModelForCausalLM
im... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/git-base", "model-index": [{"name": "git-base-pokemon", "results": []}]} | kr-manish/fine-tune-image-caption-pokemon | null | [
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| #dataset used: polinaeterna/pokemon-blip-captions
#code
git-base-pokemon
================
This model is a fine-tuned version of microsoft/git-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5797
* Wer Score: 8.9592
Model description
-----------------
More infor... | [
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - rfhuang/ben
<Gallery />
## Model description
These are rfhuang/ben LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text encoder was enabled: False.
Special VAE used... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A photo of a person named Ben"} | rfhuang/ben | null | [
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|
# AutoTrain SDXL LoRA DreamBooth - rfhuang/ben
<Gallery />
## Model description
These are rfhuang/ben LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth"]} | ramixpe/4ep_adapter | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# phi-2-finetuned-intentv2.0
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on th... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi-2-finetuned-intentv2.0", "results": []}]} | mohits01/phi-2-finetuned-intentv2.0 | null | [
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# phi-2-finetuned-intentv2.0
This model is a fine-tuned version of microsoft/phi-2 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparamete... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HenryCai1129/LlamaAdapter-llama2-happy-300-prompt-system | null | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-small-nl-vl
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on... | {"language": ["nl"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "whisper-small-nl-vl", "results": []}]} | fibleep/whisper-small-nl-vl | null | [
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| whisper-small-nl-vl
===================
This model is a fine-tuned version of openai/whisper-small on the flemish-mozilla-common-voice dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1278
* Wer: 6.1734
Model description
-----------------
More information needed
Intended uses & limi... | [
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"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #nl #base_model-openai/whisper-small #license-apache-2.0 #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate:... |
null | transformers |
# Tokerss/testmoisfimu-Q5_K_M-GGUF
This model was converted to GGUF format from [`Tokerss/testmoisfimu`](https://huggingface.co/Tokerss/testmoisfimu) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/To... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["TheDrummer/Moistral-11B-v2", "Sao10K/Fimbulvetr-11B-v2"]} | Tokerss/testmoisfimu-Q5_K_M-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"base_model:TheDrummer/Moistral-11B-v2",
"base_model:Sao10K/Fimbulvetr-11B-v2",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T13:26:12+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-TheDrummer/Moistral-11B-v2 #base_model-Sao10K/Fimbulvetr-11B-v2 #endpoints_compatible #region-us
|
# Tokerss/testmoisfimu-Q5_K_M-GGUF
This model was converted to GGUF format from 'Tokerss/testmoisfimu' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You... | [
"# Tokerss/testmoisfimu-Q5_K_M-GGUF\nThis model was converted to GGUF format from 'Tokerss/testmoisfimu' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n\n... | [
"TAGS\n#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-TheDrummer/Moistral-11B-v2 #base_model-Sao10K/Fimbulvetr-11B-v2 #endpoints_compatible #region-us \n",
"# Tokerss/testmoisfimu-Q5_K_M-GGUF\nThis model was converted to GGUF format from 'Tokerss/testmoisfimu' using URL via the URL's GG... | [
73,
74,
52
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"TAGS\n#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-TheDrummer/Moistral-11B-v2 #base_model-Sao10K/Fimbulvetr-11B-v2 #endpoints_compatible #region-us \n# Tokerss/testmoisfimu-Q5_K_M-GGUF\nThis model was converted to GGUF format from 'Tokerss/testmoisfimu' using URL via the URL's GGUF-my-... |
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": []} | Prashant-karwasra/GPT2_short_stroy_generation_model | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T13:27:31+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #gpt2 #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed ... | [
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"TAGS\n#transformers #safetensors #gpt2 #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This m... |
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