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null | transformers |
only ct2 float16 convert
ct2-transformers-converter --model facebook/nllb-200-distilled-1.3B --quantization float16 --trust_remote_code --output_dir nllb-200-distilled-1.3B-ct2-float16
Original author: Facebook
Original author model URL: facebook/nllb-200-distilled-1.3B | {"license": "cc-by-nc-4.0"} | skywood/nllb-200-distilled-1.3B-ct2-float16 | null | [
"transformers",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-08T13:53:15+00:00 | [] | [] | TAGS
#transformers #license-cc-by-nc-4.0 #endpoints_compatible #region-us
|
only ct2 float16 convert
ct2-transformers-converter --model facebook/nllb-200-distilled-1.3B --quantization float16 --trust_remote_code --output_dir nllb-200-distilled-1.3B-ct2-float16
Original author: Facebook
Original author model URL: facebook/nllb-200-distilled-1.3B | [] | [
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text-generation | transformers | <img src="https://cdn-uploads.huggingface.co/production/uploads/65ad2502043d53781aad2ee4/kmTOHCPDzyflcIrXPzgT5.png" alt="image" width="540" height="540" style="margin-bottom: 30px;">
# 🌠 Multiparadigm_7B
Multiparadigm_7B is a merge of the following models:
* [MTSAIR/multi_verse_model](https://huggingface.co/MTSAIR/mu... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "mistral", "roleplay", "MTSAIR/multi_verse_model", "ResplendentAI/Paradigm_7B"], "base_model": ["MTSAIR/multi_verse_model", "ResplendentAI/Paradigm_7B"], "model-index": [{"name": "Multiparadigm_7B", "results": [{... | rmdhirr/Multiparadigm_7B | null | [
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"safetensors",
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"base_model:MTSAIR/multi_verse_model",
"base_model:ResplendentAI/Paradigm_7B",
"license:apache-2.0",
"model-index... | null | 2024-04-08T13:55:00+00:00 | [] | [
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Multiparadigm\_7B
=================
Multiparadigm\_7B is a merge of the following models:
* MTSAIR/multi\_verse\_model
* ResplendentAI/Paradigm\_7B
Quantizations
=============
Thanks to mradermacher, static GGUF quants are availa... | [] | [
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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"]} | Kxn-6490/ppo-SnowballTarget | null | [
"ml-agents",
"tensorboard",
"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SnowballTarget",
"region:us"
] | null | 2024-04-08T13:58:04+00:00 | [] | [] | TAGS
#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... | [
"# ppo Agent playing SnowballTarget\n This is a trained model of a ppo agent playing SnowballTarget\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *... | [
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null | peft | ## Training procedure
### Framework versions
- PEFT 0.4.0
| {"library_name": "peft"} | Rahul13/llama-2-7b-qna-tuned | null | [
"peft",
"safetensors",
"region:us"
] | null | 2024-04-08T13:58:28+00:00 | [] | [] | TAGS
#peft #safetensors #region-us
| ## Training procedure
### Framework versions
- PEFT 0.4.0
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null | diffusers | # Bird Textual Inversion Collection - part 1 - Parrot
## Base Model = 'runwayml/stable-diffusion-v1-5'
## Train Epochs = 100
## Train Iterations = 1000
## lr = 0.0001
### concept images
![pic... | {"license": "mit", "library_name": "diffusers", "tags": ["biology"]} | SunR1s3/bird-collection-parrot | null | [
"diffusers",
"biology",
"license:mit",
"region:us"
] | null | 2024-04-08T13:59:16+00:00 | [] | [] | TAGS
#diffusers #biology #license-mit #region-us
| # Bird Textual Inversion Collection - part 1 - Parrot
## Base Model = 'runwayml/stable-diffusion-v1-5'
## Train Epochs = 100
## Train Iterations = 1000
## lr = 0.0001
### concept images
!pic
!pic
!pic
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] |
text-generation | transformers |
# Barista38
Barista38 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [tomaszki/stablelm-16](https://huggingface.co/tomaszki/stablelm-16)
* [coffie3/sa11](https://huggingface.co/coffie3/sa11)
## 🧩 Configuration
```yam... | {"tags": ["merge", "mergekit", "lazymergekit", "tomaszki/stablelm-16", "coffie3/sa11"], "base_model": ["tomaszki/stablelm-16", "coffie3/sa11"]} | Sumail/Barista38 | null | [
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"text-generation",
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"lazymergekit",
"tomaszki/stablelm-16",
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"base_model:tomaszki/stablelm-16",
"base_model:coffie3/sa11",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-08T13:59:21+00:00 | [] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #merge #mergekit #lazymergekit #tomaszki/stablelm-16 #coffie3/sa11 #conversational #base_model-tomaszki/stablelm-16 #base_model-coffie3/sa11 #autotrain_compatible #endpoints_compatible #region-us
|
# Barista38
Barista38 is a merge of the following models using LazyMergekit:
* tomaszki/stablelm-16
* coffie3/sa11
## Configuration
## Usage
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | dmcooller/neural-schevchenko-ft | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-08T14:00:23+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# M7Yamshadowexperiment28_Inex12Neural
M7Yamshadowexperiment28_Inex12Neural is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/Inex12Neural-7B](https://huggingface.co/automerger/Inex12Neural-7B)
## 💻 Usage
```p... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_Inex12Neural", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/Inex12Neural-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "... | MaziyarPanahi/M7Yamshadowexperiment28_Inex12Neural | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/M7Yamshadowexperiment28-7B",
"base_model:automerger/Inex12Neural-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-08T14:01:13+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/M7Yamshadowexperiment28-7B #base_model-automerger/Inex12Neural-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# M7Yamshadowexperiment28_Inex12Neural
M7Yamshadowexperiment28_Inex12Neural is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/Inex12Neural-7B
## Usage
| [
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text-generation | transformers |
## My first ever successful merge: QueenLiz 120B
this is a linear merge of Quartet70B (https://huggingface.co/alchemonaut/QuartetAnemoi-70B-t0.0001) and Lzlv 70B (https://huggingface.co/lizpreciati... | {} | blockblockblock/QueenLiz-120B-bpw2.25 | null | [
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"llama",
"text-generation",
"arxiv:2203.05482",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-08T14:01:35+00:00 | [
"2203.05482"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-2203.05482 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
## My first ever successful merge: QueenLiz 120B
!image/png
this is a linear merge of Quartet70B (URL and Lzlv 70B (URL
Sharing it here so hopefully someone else with proper machine can try this out.
NOTE: Context Window should be 32K
My Q4KM GGUF here :URL
Thanks to the Mad Skills by @mradermacher - a whole s... | [
"## My first ever successful merge: QueenLiz 120B\n\n\n!image/png\n\nthis is a linear merge of Quartet70B (URL and Lzlv 70B (URL\n\nSharing it here so hopefully someone else with proper machine can try this out.\n\n\nNOTE: Context Window should be 32K\n\nMy Q4KM GGUF here :URL\n\nThanks to the Mad Skills by @mrader... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-small-kaikouraKP
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "t5-small-kaikouraKP", "results": []}]} | rizvi-rahil786/t5-small-kaikouraKP | null | [
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"t5",
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"endpoints_compatible",
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"region:us"
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#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| t5-small-kaikouraKP
===================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7249
* Rouge1: 42.6897
* Rouge2: 32.7199
* Rougel: 42.3348
* Rougelsum: 42.2663
* Gen Len: 7.3490
Model description
-----------------
M... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 8",
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null | transformers |
only ct2 int8 convert
ct2-transformers-converter --model facebook/nllb-200-distilled-1.3B --quantization int8 --trust_remote_code --output_dir nllb-200-distilled-1.3B-ct2-int8
Original author: Facebook
Original author model URL: facebook/nllb-200-distilled-1.3B | {"license": "cc-by-nc-4.0"} | skywood/nllb-200-distilled-1.3B-ct2-int8 | null | [
"transformers",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-08T14:03:24+00:00 | [] | [] | TAGS
#transformers #license-cc-by-nc-4.0 #endpoints_compatible #region-us
|
only ct2 int8 convert
ct2-transformers-converter --model facebook/nllb-200-distilled-1.3B --quantization int8 --trust_remote_code --output_dir nllb-200-distilled-1.3B-ct2-int8
Original author: Facebook
Original author model URL: facebook/nllb-200-distilled-1.3B | [] | [
"TAGS\n#transformers #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ParkTaeEon/Myrrh_solar_10.7b_v0.2
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do no... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "ParkTaeEon/Myrrh_solar_10.7b_v0.2", "quantized_by": "mradermacher"} | mradermacher/Myrrh_solar_10.7b_v0.2-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:ParkTaeEon/Myrrh_solar_10.7b_v0.2",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-08T14:03:42+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-ParkTaeEon/Myrrh_solar_10.7b_v0.2 #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #en #base_model-ParkTaeEon/Myrrh_solar_10.7b_v0.2 #license-apache-2.0 #endpoints_compatible #region-us \n"
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] |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama_ice_domar
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "llama_ice_domar", "results": []}]} | thorirhrafn/llama_ice_domar | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-hf",
"region:us"
] | null | 2024-04-08T14:04:51+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-meta-llama/Llama-2-7b-hf #region-us
| llama\_ice\_domar
=================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6789
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 4\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-squad
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-squad", "results": []}]} | Hashemghanem/distilbert-base-uncased-finetuned-squad | null | [
"transformers",
"safetensors",
"distilbert",
"question-answering",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-08T14:06:08+00:00 | [] | [] | TAGS
#transformers #safetensors #distilbert #question-answering #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
|
# distilbert-base-uncased-finetuned-squad
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
###... | [
"# distilbert-base-uncased-finetuned-squad\n\nThis model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zephyr-7b-sft-lora
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "zephyr-7b-sft-lora", "results": []}]} | hannahbillo/zephyr-7b-sft-lora | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-08T14:07:20+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
| zephyr-7b-sft-lora
==================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
-----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 128\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 1... | [
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null | transformers |
only ct2 int8 convert
ct2-transformers-converter --model facebook/nllb-200-distilled-600M --quantization int8 --trust_remote_code --output_dir nllb-200-distilled-600M-ct2-int8
Original author: Facebook
Original author model URL: facebook/nllb-200-distilled-600M | {"license": "cc-by-nc-4.0"} | skywood/nllb-200-distilled-600M-ct2-int8 | null | [
"transformers",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-08T14:08:09+00:00 | [] | [] | TAGS
#transformers #license-cc-by-nc-4.0 #endpoints_compatible #region-us
|
only ct2 int8 convert
ct2-transformers-converter --model facebook/nllb-200-distilled-600M --quantization int8 --trust_remote_code --output_dir nllb-200-distilled-600M-ct2-int8
Original author: Facebook
Original author model URL: facebook/nllb-200-distilled-600M | [] | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/nbeerbower/HeroBophades-2x7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sho... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["jondurbin/truthy-dpo-v0.1", "kyujinpy/orca_math_dpo"], "base_model": "nbeerbower/HeroBophades-2x7B", "quantized_by": "mradermacher"} | mradermacher/HeroBophades-2x7B-GGUF | null | [
"transformers",
"gguf",
"en",
"dataset:jondurbin/truthy-dpo-v0.1",
"dataset:kyujinpy/orca_math_dpo",
"base_model:nbeerbower/HeroBophades-2x7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-08T14:08:57+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #dataset-jondurbin/truthy-dpo-v0.1 #dataset-kyujinpy/orca_math_dpo #base_model-nbeerbower/HeroBophades-2x7B #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #en #dataset-jondurbin/truthy-dpo-v0.1 #dataset-kyujinpy/orca_math_dpo #base_model-nbeerbower/HeroBophades-2x7B #license-apache-2.0 #endpoints_compatible #region-us \n"
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79
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] |
feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Equall/bge-m3-8april-no_distill_but_all_true-checkpoint-500 | null | [
"transformers",
"safetensors",
"xlm-roberta",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-08T14:09:40+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #xlm-roberta #feature-extraction #arxiv-1910.09700 #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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"## 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 #xlm-roberta #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us \n",
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text-generation | transformers |
# Experiment28M7_M7Alloyingotneoy
Experiment28M7_M7Alloyingotneoy is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/M7Alloyingotneoy-7B](https://huggingface.co/automerger/M7Alloyingotneoy-7B)
## 💻 Usage
```python
!pip install -... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_M7Alloyingotneoy", "base_model": ["automerger/Experiment28M7-7B", "automerger/M7Alloyingotneoy-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_... | MaziyarPanahi/Experiment28M7_M7Alloyingotneoy | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/Experiment28M7-7B",
"base_model:automerger/M7Alloyingotneoy-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-08T14:09:54+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28M7-7B #base_model-automerger/M7Alloyingotneoy-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28M7_M7Alloyingotneoy
Experiment28M7_M7Alloyingotneoy is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/M7Alloyingotneoy-7B
## Usage
| [
"# Experiment28M7_M7Alloyingotneoy\n\nExperiment28M7_M7Alloyingotneoy is a merge of the following models:\n* automerger/Experiment28M7-7B\n* automerger/M7Alloyingotneoy-7B",
"## Usage"
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text-generation | transformers |
# NeuralsirkrishnaShadow_Inex12Neural
NeuralsirkrishnaShadow_Inex12Neural is a merge of the following models:
* [automerger/NeuralsirkrishnaShadow-7B](https://huggingface.co/automerger/NeuralsirkrishnaShadow-7B)
* [automerger/Inex12Neural-7B](https://huggingface.co/automerger/Inex12Neural-7B)
## 💻 Usage
```pytho... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "NeuralsirkrishnaShadow_Inex12Neural", "base_model": ["automerger/NeuralsirkrishnaShadow-7B", "automerger/Inex12Neural-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "qu... | MaziyarPanahi/NeuralsirkrishnaShadow_Inex12Neural | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/NeuralsirkrishnaShadow-7B",
"base_model:automerger/Inex12Neural-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-08T14:10:04+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/NeuralsirkrishnaShadow-7B #base_model-automerger/Inex12Neural-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# NeuralsirkrishnaShadow_Inex12Neural
NeuralsirkrishnaShadow_Inex12Neural is a merge of the following models:
* automerger/NeuralsirkrishnaShadow-7B
* automerger/Inex12Neural-7B
## Usage
| [
"# NeuralsirkrishnaShadow_Inex12Neural\n\nNeuralsirkrishnaShadow_Inex12Neural is a merge of the following models:\n* automerger/NeuralsirkrishnaShadow-7B\n* automerger/Inex12Neural-7B",
"## Usage"
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"# NeuralsirkrishnaShadow_Inex12Neural\n\nNeuralsirkrishnaSha... | [
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text-generation | transformers |
# YamshadowInex12_Strangemerges_32Experiment26
YamshadowInex12_Strangemerges_32Experiment26 is a merge of the following models:
* [automerger/YamshadowInex12-7B](https://huggingface.co/automerger/YamshadowInex12-7B)
* [automerger/Strangemerges_32Experiment26-7B](https://huggingface.co/automerger/Strangemerges_32Exper... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowInex12_Strangemerges_32Experiment26", "base_model": ["automerger/YamshadowInex12-7B", "automerger/Strangemerges_32Experiment26-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "tex... | MaziyarPanahi/YamshadowInex12_Strangemerges_32Experiment26 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/YamshadowInex12-7B",
"base_model:automerger/Strangemerges_32Experiment26-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-08T14:10:33+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowInex12-7B #base_model-automerger/Strangemerges_32Experiment26-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowInex12_Strangemerges_32Experiment26
YamshadowInex12_Strangemerges_32Experiment26 is a merge of the following models:
* automerger/YamshadowInex12-7B
* automerger/Strangemerges_32Experiment26-7B
## Usage
| [
"# YamshadowInex12_Strangemerges_32Experiment26\n\nYamshadowInex12_Strangemerges_32Experiment26 is a merge of the following models:\n* automerger/YamshadowInex12-7B\n* automerger/Strangemerges_32Experiment26-7B",
"## Usage"
] | [
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text-classification | setfit |
# SetFit Aspect Model
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Aspect Based Sentiment Analysis (ABSA). A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance is used for classification. In particular, ... | {"library_name": "setfit", "tags": ["setfit", "absa", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "widget": [], "pipeline_tag": "text-classification", "inference": false} | Davide1999/setfit-absa-model-aspect | null | [
"setfit",
"safetensors",
"mpnet",
"absa",
"sentence-transformers",
"text-classification",
"generated_from_setfit_trainer",
"arxiv:2209.11055",
"region:us"
] | null | 2024-04-08T14:10:46+00:00 | [
"2209.11055"
] | [] | TAGS
#setfit #safetensors #mpnet #absa #sentence-transformers #text-classification #generated_from_setfit_trainer #arxiv-2209.11055 #region-us
|
# SetFit Aspect Model
This is a SetFit model that can be used for Aspect Based Sentiment Analysis (ABSA). A LogisticRegression instance is used for classification. In particular, this model is in charge of filtering aspect span candidates.
The model has been trained using an efficient few-shot learning technique tha... | [
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text-generation | transformers |
# YamshadowStrangemerges_32_T3qExperiment26
YamshadowStrangemerges_32_T3qExperiment26 is a merge of the following models:
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
* [automerger/T3qExperiment26-7B](https://huggingface.co/automerger/T3qExperiment26-7B)
... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowStrangemerges_32_T3qExperiment26", "base_model": ["automerger/YamshadowStrangemerges_32-7B", "automerger/T3qExperiment26-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-gene... | MaziyarPanahi/YamshadowStrangemerges_32_T3qExperiment26 | null | [
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|
# YamshadowStrangemerges_32_T3qExperiment26
YamshadowStrangemerges_32_T3qExperiment26 is a merge of the following models:
* automerger/YamshadowStrangemerges_32-7B
* automerger/T3qExperiment26-7B
## Usage
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text-classification | setfit |
# SetFit Polarity Model
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Aspect Based Sentiment Analysis (ABSA). A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance is used for classification. In particular... | {"library_name": "setfit", "tags": ["setfit", "absa", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "widget": [], "pipeline_tag": "text-classification", "inference": false} | Davide1999/setfit-absa-model-polarity | null | [
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# SetFit Polarity Model
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Ying7888/b2b-lora-ar-15 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- _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_quan... | {"library_name": "peft"} | recogna-nlp/internlm2-chat-1_8b-ultracabrita_v0 | null | [
"peft",
"pytorch",
"internlm2",
"custom_code",
"region:us"
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#peft #pytorch #internlm2 #custom_code #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
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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
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- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | chakkakrishna/LtinyLlama | null | [
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#peft #safetensors #llama #region-us
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zephyr-7b-gpo-u3-i1
This model is a fine-tuned version of [DUAL-GPO/zephyr-7b-gpo-update3-i0](https://huggingface.co/DUAL-GPO/ze... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "zephyr-7b-gpo-u3-i1", "results": []}]} | DUAL-GPO/zephyr-7b-gpo-u3-i1 | null | [
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| zephyr-7b-gpo-u3-i1
===================
This model is a fine-tuned version of DUAL-GPO/zephyr-7b-gpo-update3-i0 on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0976
* Rewards/chosen: -0.2046
* Rewards/rejected: -0.1684
* Rewards/accuracies: 0... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-06\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* distributed\\_type: multi-GPU\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 4\n* optimizer: Adam with... | [
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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. -->
# sft_gpt1b_domar_pretuned
This model is a fine-tuned version of [AI-Sweden-Models/gpt-sw3-1.3b](https://huggingface.co/AI-Sweden-... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "AI-Sweden-Models/gpt-sw3-1.3b", "model-index": [{"name": "sft_gpt1b_domar_pretuned", "results": []}]} | thorirhrafn/sft_gpt1b_domar_pretuned | null | [
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-AI-Sweden-Models/gpt-sw3-1.3b #license-apache-2.0 #region-us
| sft\_gpt1b\_domar\_pretuned
===========================
This model is a fine-tuned version of AI-Sweden-Models/gpt-sw3-1.3b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7491
Model description
-----------------
More information needed
Intended uses & limitations
---... | [
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text-generation | transformers |
# M7Yamshadowexperiment28_YamshadowExperiment28
M7Yamshadowexperiment28_YamshadowExperiment28 is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/YamshadowExperiment28-7B](https://huggingface.co/automerger/YamshadowE... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_YamshadowExperiment28", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/YamshadowExperiment28-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "t... | MaziyarPanahi/M7Yamshadowexperiment28_YamshadowExperiment28 | null | [
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"license:apache-2.0",
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"region:us"
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|
# M7Yamshadowexperiment28_YamshadowExperiment28
M7Yamshadowexperiment28_YamshadowExperiment28 is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/YamshadowExperiment28-7B
## Usage
| [
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null | null |
# MNP-SVC-VCTK-partial
*English* | [*日本語*](README-ja.md)
This repository contains the weights for the [MNP-SVC](https://github.com/TylorShine/MNP-SVC) trained on the partial (reduced to about 8 files per speaker) of [VCTK](https://huggingface.co/datasets/vctk) dataset.
## Model Details
| Checkpoint | Train Hours ... | {"license": "cc0-1.0"} | TylorShine/MNP-SVC-VCTK-partial | null | [
"license:cc0-1.0",
"region:us"
] | null | 2024-04-08T14:19:32+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
| MNP-SVC-VCTK-partial
====================
*English* | *日本語*
This repository contains the weights for the MNP-SVC trained on the partial (reduced to about 8 files per speaker) of VCTK dataset.
Model Details
-------------
Checkpoint: MNP-SVC-VCTK-partial, Train Hours: 0.5, Speakers: 109
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_work
This model is a fine-tuned version of [SI2M-Lab/DarijaBERT](https://huggingface.co/SI2M-Lab/DarijaBERT) on an unknown da... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "my_work", "results": []}]} | zaidanih/my_work | null | [
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"pytorch",
"bert",
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"region:us"
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|
# my_work
This model is a fine-tuned version of SI2M-Lab/DarijaBERT 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 follo... | [
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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": []} | jayavibhav/gemma-if-graph-v2 | 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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text-generation | transformers |
**Lloro 7B**
<img src="https://cdn-uploads.huggingface.co/production/uploads/653176dc69fffcfe1543860a/h0kNd9OTEu1QdGNjHKXoq.png" width="300" alt="Lloro-7b Logo"/>
Lloro, developed by Semantix Research Labs , is a language Model that was trained to effectively perform Portuguese Data Analysis in Python. It is a fine... | {"language": ["pt"], "license": "llama2", "library_name": "transformers", "tags": ["code", "analytics", "analise-dados", "portugues-BR"], "datasets": ["semantixai/LloroV3"], "base_model": "codellama/CodeLlama-7b-Instruct-hf", "co2_eq_emissions": {"emissions": 1320, "source": "Lacoste, Alexandre, et al. \u201cQuantifyin... | semantixai/LloroV3 | null | [
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| Lloro 7B
<img src="URL width="300" alt="Lloro-7b Logo"/>
Lloro, developed by Semantix Research Labs , is a language Model that was trained to effectively perform Portuguese Data Analysis in Python. It is a fine-tuned version of codellama/CodeLlama-7b-Instruct-hf, that was trained on synthetic datasets. The fine-tun... | [] | [
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | IvanD2002/autotrain-phi-2 | null | [
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# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
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] |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-cola
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["matthews_correlation"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-cola", "results": []}]} | sixte99/distilbert-base-uncased-finetuned-cola | null | [
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| distilbert-base-uncased-finetuned-cola
======================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8196
* Matthews Correlation: 0.5294
Model description
-----------------
More infor... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
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<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/ChuckMcSneed/Gembo-v1.1-70b
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static quants are available at https://huggingface.co/mradermacher/Gembo-v1.1-70... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["merge", "mergekit", "nsfw", "not-for-all-audiences"], "base_model": "ChuckMcSneed/Gembo-v1.1-70b", "quantized_by": "mradermacher"} | mradermacher/Gembo-v1.1-70b-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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text-generation | transformers |
# NeuralsirkrishnaShadow_YamshadowExperiment28
NeuralsirkrishnaShadow_YamshadowExperiment28 is a merge of the following models:
* [automerger/NeuralsirkrishnaShadow-7B](https://huggingface.co/automerger/NeuralsirkrishnaShadow-7B)
* [automerger/YamshadowExperiment28-7B](https://huggingface.co/automerger/YamshadowExper... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "NeuralsirkrishnaShadow_YamshadowExperiment28", "base_model": ["automerger/NeuralsirkrishnaShadow-7B", "automerger/YamshadowExperiment28-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "tex... | MaziyarPanahi/NeuralsirkrishnaShadow_YamshadowExperiment28 | null | [
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"mistral",
"text-generation",
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"base_model:automerger/NeuralsirkrishnaShadow-7B",
"base_model:automerger/YamshadowExperiment28-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-08T14:28:00+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/NeuralsirkrishnaShadow-7B #base_model-automerger/YamshadowExperiment28-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# NeuralsirkrishnaShadow_YamshadowExperiment28
NeuralsirkrishnaShadow_YamshadowExperiment28 is a merge of the following models:
* automerger/NeuralsirkrishnaShadow-7B
* automerger/YamshadowExperiment28-7B
## Usage
| [
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text-generation | transformers |
# Experiment28M7_Experiment26Strangemerges_32
Experiment28M7_Experiment26Strangemerges_32 is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/Experiment26Strangemerges_32-7B](https://huggingface.co/automerger/Experiment26Strangemerges... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_Experiment26Strangemerges_32", "base_model": ["automerger/Experiment28M7-7B", "automerger/Experiment26Strangemerges_32-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-... | MaziyarPanahi/Experiment28M7_Experiment26Strangemerges_32 | null | [
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"license:apache-2.0",
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] | null | 2024-04-08T14:28:00+00:00 | [] | [] | TAGS
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|
# Experiment28M7_Experiment26Strangemerges_32
Experiment28M7_Experiment26Strangemerges_32 is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/Experiment26Strangemerges_32-7B
## 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. -->
# zephyr-7b-sft-qlora
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "zephyr-7b-sft-qlora", "results": []}]} | LeeSB/zephyr-7b-sft-qlora | null | [
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"license:apache-2.0",
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] | null | 2024-04-08T14:28:20+00:00 | [] | [] | TAGS
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| zephyr-7b-sft-qlora
===================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8944
Model description
-----------------
More information needed
Intended uses & limitations
--------------------... | [
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text-generation | transformers |
# YamshadowStrangemerges_32_AlloyingotneoyExperiment26
YamshadowStrangemerges_32_AlloyingotneoyExperiment26 is a merge of the following models:
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
* [automerger/AlloyingotneoyExperiment26-7B](https://huggingface.c... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowStrangemerges_32_AlloyingotneoyExperiment26", "base_model": ["automerger/YamshadowStrangemerges_32-7B", "automerger/AlloyingotneoyExperiment26-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pip... | MaziyarPanahi/YamshadowStrangemerges_32_AlloyingotneoyExperiment26 | null | [
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"license:apache-2.0",
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"region:us"
] | null | 2024-04-08T14:29:06+00:00 | [] | [] | TAGS
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|
# YamshadowStrangemerges_32_AlloyingotneoyExperiment26
YamshadowStrangemerges_32_AlloyingotneoyExperiment26 is a merge of the following models:
* automerger/YamshadowStrangemerges_32-7B
* automerger/AlloyingotneoyExperiment26-7B
## Usage
| [
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text-generation | transformers |
# YamshadowInex12_Strangemerges_32Yamshadow
YamshadowInex12_Strangemerges_32Yamshadow is a merge of the following models:
* [automerger/YamshadowInex12-7B](https://huggingface.co/automerger/YamshadowInex12-7B)
* [automerger/Strangemerges_32Yamshadow-7B](https://huggingface.co/automerger/Strangemerges_32Yamshadow-7B)
... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowInex12_Strangemerges_32Yamshadow", "base_model": ["automerger/YamshadowInex12-7B", "automerger/Strangemerges_32Yamshadow-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-gene... | MaziyarPanahi/YamshadowInex12_Strangemerges_32Yamshadow | null | [
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|
# YamshadowInex12_Strangemerges_32Yamshadow
YamshadowInex12_Strangemerges_32Yamshadow is a merge of the following models:
* automerger/YamshadowInex12-7B
* automerger/Strangemerges_32Yamshadow-7B
## Usage
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Output_LayoutLMv3_v5
This model is a fine-tuned version of [microsoft/layoutlmv3-large](https://huggingface.co/microsoft/layoutl... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "datasets": ["Noureddinesa/LayoutLmv3_v1"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "Output_LayoutLMv3_v5", "results": []}]} | Noureddinesa/Output_LayoutLMv3_v5 | null | [
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| Output\_LayoutLMv3\_v5
======================
This model is a fine-tuned version of microsoft/layoutlmv3-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3054
* Precision: 0.8505
* Recall: 0.8273
* F1: 0.8387
* Accuracy: 0.9723
Model description
-----------------
M... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** goncaavci
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-2-7b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-2-7b-bnb-4bit"} | goncaavci/peft-llama-incident-factor-trail8 | null | [
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|
# Uploaded model
- Developed by: goncaavci
- License: apache-2.0
- Finetuned from model : unsloth/llama-2-7b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# M7Yamshadowexperiment28_Inex12Strangemerges_32
M7Yamshadowexperiment28_Inex12Strangemerges_32 is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/Inex12Strangemerges_32-7B](https://huggingface.co/automerger/Inex12S... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_Inex12Strangemerges_32", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/Inex12Strangemerges_32-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": ... | MaziyarPanahi/M7Yamshadowexperiment28_Inex12Strangemerges_32 | null | [
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|
# M7Yamshadowexperiment28_Inex12Strangemerges_32
M7Yamshadowexperiment28_Inex12Strangemerges_32 is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/Inex12Strangemerges_32-7B
## Usage
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automatic-speech-recognition | transformers |
# Model Card for Model ID
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text-generation | transformers | This model is a version of mistralai/Mistral-7B-v0.1 that has been fine-tuned with Our In House CustomData.
Train Spec :
We utilized an A100x4 * 1 for training our model
with DeepSpeed / HuggingFace TRL Trainer / HuggingFace Accelerate | {"language": ["ko"], "license": "cc-by-nc-4.0", "datasets": ["Custom_datasets"], "pipeline_tag": "text-generation", "base_model": "mistralai/Mistral-7B-v0.1"} | Alphacode-AI/AlphaMist7B-slr-v1 | null | [
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| This model is a version of mistralai/Mistral-7B-v0.1 that has been fine-tuned with Our In House CustomData.
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] |
text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# LoRA text2image fine-tuning - rubio21/mushrooms-lora
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5.... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora"], "base_model": "runwayml/stable-diffusion-v1-5", "inference": true} | rubio21/mushrooms-lora | null | [
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|
# LoRA text2image fine-tuning - rubio21/mushrooms-lora
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the /datatmp2/picvisa_2023/pruebas_alberto/datasets/mushrooms/ dataset. You can find some example images in the following.
!img_0
!img_1
!img_2
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers | # **Llama 2**
Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 7B fine-tuned model, optimized for dialogue use cases and converted for the Hugging Face Transformers format. Links to other models can be fo... | {"language": ["en"], "tags": ["facebook", "meta", "pytorch", "llama", "llama-2"], "extra_gated_heading": "You need to share contact information with Meta to access this model", "extra_gated_prompt": "### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\"Agreement\" means the terms and conditions for use, reproduction, distributio... | Flemem/TunedLlama-7B | null | [
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| Llama 2
=======
Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 7B fine-tuned model, optimized for dialogue use cases and converted for the Hugging Face Transformers format. Links to other models can b... | [] | [
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text-generation | transformers | This model is a version of mistralai/Mistral-7B-v0.1 that has been fine-tuned with Our In House CustomData.
Train Spec :
We utilized an A100x4 * 1 for training our model
with DeepSpeed / HuggingFace TRL Trainer / HuggingFace Accelerate | {"language": ["ko"], "license": "cc-by-nc-4.0", "datasets": ["Custom_datasets"], "pipeline_tag": "text-generation", "base_model": "mistralai/Mistral-7B-v0.1"} | Alphacode-AI/AlphaMist7B-slr-v2 | null | [
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| This model is a version of mistralai/Mistral-7B-v0.1 that has been fine-tuned with Our In House CustomData.
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We utilized an A100x4 * 1 for training our model
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text-generation | transformers |
# h2o-danube2-1.8b-chat-MLX-4bit
Model was converted to MLX format from [`h2oai/h2o-danube2-1.8b-chat`](https://huggingface.co/h2oai/h2o-danube2-1.8b-chat) using mlx-lm version **0.7.0**.
The original model card is reproduced below, for further details.
## Use with mlx
From shell:
```sh
pip install mlx-lm
```
The... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["gpt", "llm", "large language model", "h2o-llmstudio"], "thumbnail": "https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico", "pipeline_tag": "text-generation"} | ucheog/h2o-danube2-1.8b-chat-MLX-4bit | null | [
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The original model card is reproduced below, for further details.
Use with mlx
------------
From shell:
Then in Python:
Original Model Card
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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": []} | vadhri/fb-opt-350mn-bittext-25epochs | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ccw7463/gemma-ko-2b-finetuned_ver0.1 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
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precision_weighted: 0.667694144051... | {"tags": ["autotrain", "text-classification"], "datasets": ["geotrain-final/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | luukschmitz/geotrain-final | null | [
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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]
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text-generation | transformers |
### This is the base model of Algae-550M.
This model was trained on a 35GB dataset using bf16 precision and completed 1.8 epochs. It performs well in answering questions, achieving a score of up to 45.2 in TruthfulQA (mc2), surpassing GPT-2 (40.6). Other metrics align with models of equivalent training and parameter... | {"language": ["en"], "license": "mit"} | PhelixZhen/Algae-550M-base | null | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
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text-generation | transformers |
# Model Card for Model ID
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text-generation | transformers |
# RecurrentGemma Model Card
**Model Page**: [RecurrentGemma]( https://ai.google.dev/gemma/docs/recurrentgemma/model_card)
This model card corresponds to the 2B instruction version of the RecurrentGemma model. You can also visit the model card of the [2B base model](https://huggingface.co/google/recurrentgemma-2b).
... | {"license": "gemma", "library_name": "transformers", "extra_gated_heading": "Access RecurrentGemma on Hugging Face", "extra_gated_prompt": "To access RecurrentGemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Hugging Face a... | google/recurrentgemma-2b-it | null | [
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=========================
Model Page: RecurrentGemma
This model card corresponds to the 2B instruction version of the RecurrentGemma model. You can also visit the model card of the 2B base model.
Resources and technical documentation:
* Responsible Generative AI Toolkit
* RecurrentGemm... | [
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text-generation | transformers |
# NeuralsirkrishnaShadow_Inex12Strangemerges_32
NeuralsirkrishnaShadow_Inex12Strangemerges_32 is a merge of the following models:
* [automerger/NeuralsirkrishnaShadow-7B](https://huggingface.co/automerger/NeuralsirkrishnaShadow-7B)
* [automerger/Inex12Strangemerges_32-7B](https://huggingface.co/automerger/Inex12Stran... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "NeuralsirkrishnaShadow_Inex12Strangemerges_32", "base_model": ["automerger/NeuralsirkrishnaShadow-7B", "automerger/Inex12Strangemerges_32-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "t... | MaziyarPanahi/NeuralsirkrishnaShadow_Inex12Strangemerges_32 | null | [
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] | null | 2024-04-08T14:46:18+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/NeuralsirkrishnaShadow-7B #base_model-automerger/Inex12Strangemerges_32-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# NeuralsirkrishnaShadow_Inex12Strangemerges_32
NeuralsirkrishnaShadow_Inex12Strangemerges_32 is a merge of the following models:
* automerger/NeuralsirkrishnaShadow-7B
* automerger/Inex12Strangemerges_32-7B
## Usage
| [
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"## Usage"
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null | keras |
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
| {"library_name": "keras"} | nathanReitinger/MNIST-GAN | null | [
"keras",
"region:us",
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#keras #region-us #has_space
|
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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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. -->
# mDeBERTa-v3-base-xnli-multilingual-nli-2mil7-energy
This model is a fine-tuned version of [MoritzLaurer/mDeBERTa-v3-base-xnli-mu... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7", "model-index": [{"name": "mDeBERTa-v3-base-xnli-multilingual-nli-2mil7-energy", "results": []}]} | Omidh/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7-energy | null | [
"transformers",
"pytorch",
"deberta-v2",
"text-classification",
"generated_from_trainer",
"base_model:MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-08T14:48:02+00:00 | [] | [] | TAGS
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| mDeBERTa-v3-base-xnli-multilingual-nli-2mil7-energy
===================================================
This model is a fine-tuned version of MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2358
* Accuracy: 0.9580
* Pr... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 4\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** saksornr
- **License:** apache-2.0
- **Finetuned from model :** openthaigpt/openthaigpt-1.0.0-7b-chat
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslotha... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "openthaigpt/openthaigpt-1.0.0-7b-chat"} | saksornr/OpenThaiGPT-100-instruct-finetuned | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-08T14:48:04+00:00 | [] | [
"en"
] | TAGS
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|
# Uploaded model
- Developed by: saksornr
- License: apache-2.0
- Finetuned from model : openthaigpt/openthaigpt-1.0.0-7b-chat
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
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text-generation | transformers |
# YamshadowInex12_ShadowYamshadow
YamshadowInex12_ShadowYamshadow is a merge of the following models:
* [automerger/YamshadowInex12-7B](https://huggingface.co/automerger/YamshadowInex12-7B)
* [automerger/ShadowYamshadow-7B](https://huggingface.co/automerger/ShadowYamshadow-7B)
## 💻 Usage
```python
!pip install -... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowInex12_ShadowYamshadow", "base_model": ["automerger/YamshadowInex12-7B", "automerger/ShadowYamshadow-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_... | MaziyarPanahi/YamshadowInex12_ShadowYamshadow | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/YamshadowInex12-7B",
"base_model:automerger/ShadowYamshadow-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-08T14:48:06+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowInex12-7B #base_model-automerger/ShadowYamshadow-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowInex12_ShadowYamshadow
YamshadowInex12_ShadowYamshadow is a merge of the following models:
* automerger/YamshadowInex12-7B
* automerger/ShadowYamshadow-7B
## Usage
| [
"# YamshadowInex12_ShadowYamshadow\n\nYamshadowInex12_ShadowYamshadow is a merge of the following models:\n* automerger/YamshadowInex12-7B\n* automerger/ShadowYamshadow-7B",
"## Usage"
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Intent-classification-DeBERTa-model-Ashu
This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.c... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/deberta-v3-base", "model-index": [{"name": "Intent-classification-DeBERTa-model-Ashu", "results": []}]} | Narkantak/Intent-classification-DeBERTa-model-Ashu | null | [
"transformers",
"safetensors",
"deberta-v2",
"text-classification",
"generated_from_trainer",
"base_model:microsoft/deberta-v3-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-08T14:48:25+00:00 | [] | [] | TAGS
#transformers #safetensors #deberta-v2 #text-classification #generated_from_trainer #base_model-microsoft/deberta-v3-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| Intent-classification-DeBERTa-model-Ashu
========================================
This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2729
* Accuracy: 0.9012
Model description
-----------------
More information... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 10\n* eval\\_batch\\_size: 20\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
"TAGS\n#transformers #safetensors #deberta-v2 #text-classification #generated_from_trainer #base_model-microsoft/deberta-v3-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
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translation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-translation-en-ro
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It a... | {"license": "apache-2.0", "tags": ["translation", "generated_from_trainer"], "metrics": ["bleu"], "base_model": "t5-base", "model-index": [{"name": "t5-translation-en-ro", "results": []}]} | ancebuc/t5-translation-en-ro | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"translation",
"generated_from_trainer",
"base_model:t5-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-08T14:48:41+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #translation #generated_from_trainer #base_model-t5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| t5-translation-en-ro
====================
This model is a fine-tuned version of t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5852
* Bleu: 22.0627
* Gen Len: 13.843
Model description
-----------------
More information needed
Intended uses & limitations
-----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5.6e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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text-generation | transformers |
# Experiment28M7_Strangemerges_32Shadow
Experiment28M7_Strangemerges_32Shadow is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/Strangemerges_32Shadow-7B](https://huggingface.co/automerger/Strangemerges_32Shadow-7B)
## 💻 Usage
... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_Strangemerges_32Shadow", "base_model": ["automerger/Experiment28M7-7B", "automerger/Strangemerges_32Shadow-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation",... | MaziyarPanahi/Experiment28M7_Strangemerges_32Shadow | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/Experiment28M7-7B",
"base_model:automerger/Strangemerges_32Shadow-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-08T14:49:26+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28M7-7B #base_model-automerger/Strangemerges_32Shadow-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28M7_Strangemerges_32Shadow
Experiment28M7_Strangemerges_32Shadow is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/Strangemerges_32Shadow-7B
## Usage
| [
"# Experiment28M7_Strangemerges_32Shadow\n\nExperiment28M7_Strangemerges_32Shadow is a merge of the following models:\n* automerger/Experiment28M7-7B\n* automerger/Strangemerges_32Shadow-7B",
"## Usage"
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text-generation | transformers |
# YamshadowStrangemerges_32_M7Alloyingotneoy
YamshadowStrangemerges_32_M7Alloyingotneoy is a merge of the following models:
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
* [automerger/M7Alloyingotneoy-7B](https://huggingface.co/automerger/M7Alloyingotneoy-... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowStrangemerges_32_M7Alloyingotneoy", "base_model": ["automerger/YamshadowStrangemerges_32-7B", "automerger/M7Alloyingotneoy-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-ge... | MaziyarPanahi/YamshadowStrangemerges_32_M7Alloyingotneoy | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/YamshadowStrangemerges_32-7B",
"base_model:automerger/M7Alloyingotneoy-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-08T14:49:31+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowStrangemerges_32-7B #base_model-automerger/M7Alloyingotneoy-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowStrangemerges_32_M7Alloyingotneoy
YamshadowStrangemerges_32_M7Alloyingotneoy is a merge of the following models:
* automerger/YamshadowStrangemerges_32-7B
* automerger/M7Alloyingotneoy-7B
## Usage
| [
"# YamshadowStrangemerges_32_M7Alloyingotneoy\n\nYamshadowStrangemerges_32_M7Alloyingotneoy is a merge of the following models:\n* automerger/YamshadowStrangemerges_32-7B\n* automerger/M7Alloyingotneoy-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowStrangemerges_32-7B #base_model-automerger/M7Alloyingotneoy-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# YamshadowStrangemerges_32_M7Alloyingotneoy\n\nYamsh... | [
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reinforcement-learning | stable-baselines3 |
# **PPO_starter** Agent playing **LunarLander-v2**
This is a trained model of a **PPO_starter** 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 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO_starter", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type":... | JuanL/hf_rlc | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-08T14:49:55+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO_starter Agent playing LunarLander-v2
This is a trained model of a PPO_starter agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO_starter Agent playing LunarLander-v2\nThis is a trained model of a PPO_starter agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO_starter Agent playing LunarLander-v2\nThis is a trained model of a PPO_starter agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3... | [
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"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# PPO_starter Agent playing LunarLander-v2\nThis is a trained model of a PPO_starter agent playing LunarLander-v2\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add... |
text-generation | transformers |
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: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information N... | {"license": "gemma"} | gemmathon/gemma-pro-3.1b-ko-v0.5 | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"license:gemma",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-08T14:50:07+00:00 | [] | [] | TAGS
#transformers #safetensors #gemma #text-generation #license-gemma #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:
Finetuned from model [optio... | [] | [
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] |
text-generation | transformers |
# M7Yamshadowexperiment28_Strangemerges_32Inex12
M7Yamshadowexperiment28_Strangemerges_32Inex12 is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/Strangemerges_32Inex12-7B](https://huggingface.co/automerger/Strange... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_Strangemerges_32Inex12", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/Strangemerges_32Inex12-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": ... | MaziyarPanahi/M7Yamshadowexperiment28_Strangemerges_32Inex12 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
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"merge",
"base_model:automerger/M7Yamshadowexperiment28-7B",
"base_model:automerger/Strangemerges_32Inex12-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-08T14:51:21+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/M7Yamshadowexperiment28-7B #base_model-automerger/Strangemerges_32Inex12-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# M7Yamshadowexperiment28_Strangemerges_32Inex12
M7Yamshadowexperiment28_Strangemerges_32Inex12 is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/Strangemerges_32Inex12-7B
## Usage
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text-generation | transformers | # `StableLM 2 Chat 1.6B`
## Model Description
`Stable LM 2 Chat 1.6B` is a 1.6 billion parameter instruction tuned language model inspired by [HugginFaceH4's Zephyr 7B](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) training pipeline. The model is trained on a mix of publicly available datasets and synthetic da... | {"language": ["en"], "license": "other", "tags": ["causal-lm"], "datasets": ["HuggingFaceH4/ultrachat_200k", "allenai/ultrafeedback_binarized_cleaned", "meta-math/MetaMathQA", "WizardLM/WizardLM_evol_instruct_V2_196k", "openchat/openchat_sharegpt4_dataset", "LDJnr/Capybara", "Intel/orca_dpo_pairs", "hkust-nlp/deita-10k... | stabilityai/stablelm-2-1_6b-chat | null | [
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"safetensors",
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"dataset:meta-math/MetaMathQA",
"dataset:WizardLM/WizardLM_evol_instruct_V2_196k",
"dataset:openchat/ope... | null | 2024-04-08T14:51:24+00:00 | [
"2305.18290"
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"en"
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======================
Model Description
-----------------
'Stable LM 2 Chat 1.6B' is a 1.6 billion parameter instruction tuned language model inspired by HugginFaceH4's Zephyr 7B training pipeline. The model is trained on a mix of publicly available datasets and synthetic datasets, utilizing... | [
"### Training Dataset\n\n\nThe dataset is comprised of a mixture of open datasets large-scale datasets available on the HuggingFace Hub:\n\n\n1. SFT Datasets\n\n\n* HuggingFaceH4/ultrachat\\_200k\n* meta-math/MetaMathQA\n* WizardLM/WizardLM\\_evol\\_instruct\\_V2\\_196k\n* Open-Orca/SlimOrca\n* openchat/openchat\\_... | [
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null | null | https://civitai.com/models/295382?modelVersionId=331916 | {"license": "creativeml-openrail-m"} | LarryAIDraw/jingliu-lora-Faxtron | null | [
"license:creativeml-openrail-m",
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null | null | https://civitai.com/models/389948/chabashira-classroom-of-the-elite | {"license": "creativeml-openrail-m"} | LarryAIDraw/Chabashira-000019 | null | [
"license:creativeml-openrail-m",
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
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-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | Kxn-6490/ppo-PyramidsTraining | null | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | null | 2024-04-08T14:55:45+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us
|
# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where ... | [
"# ppo Agent playing Pyramids\n This is a trained model of a ppo agent playing Pyramids\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutori... | [
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | Jamesb1974/autotrain-gpt2l-peft-test | null | [
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#transformers #tensorboard #safetensors #autotrain #text-generation-inference #text-generation #peft #conversational #license-other #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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] |
null | null | # test | {} | layel2/test1 | null | [
"region:us"
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text-generation | transformers |
<br/><br/>
3.2bpw/h6 exl2 quantization of [Undi95/Miqu-MS-70B](https://huggingface.co/Undi95/Miqu-MS-70B) using default exllamav2 calibration dataset.
Fits in 32GB VRAM with 32k+ context (Q4cache)
---
**ORIGINAL CARD:**
# Miqu-MS-70B
This is a merge of pre-trained language models created using [mergekit](https:... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["migtissera/Tess-70B-v1.6", "152334H/miqu-1-70b-sf", "NeverSleep/MiquMaid-v2-70B", "sophosympatheia/Midnight-Miqu-70B-v1.0"]} | JayhC/Miqu-MS-70B-3.2bpw-h6-exl2 | null | [
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"base_model:sophosympatheia/Midnight-Miqu-70B-v1.0",
"lice... | null | 2024-04-08T14:58:50+00:00 | [
"2403.19522"
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<br/><br/>
3.2bpw/h6 exl2 quantization of Undi95/Miqu-MS-70B using default exllamav2 calibration dataset.
Fits in 32GB VRAM with 32k+ context (Q4cache)
---
ORIGINAL CARD:
# Miqu-MS-70B
This is a merge of pre-trained language models created using mergekit.
The new MODEL STOCK merge method was used, see below fo... | [
"# Miqu-MS-70B\n\nThis is a merge of pre-trained language models created using mergekit.\n\nThe new MODEL STOCK merge method was used, see below for more information!\n\nFeedback on this model is greatly appreciated! I hope this new merge method will be able to fill some hole Miqu have.",
"## Others quant\n\n- EX... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/bunnycore/Mnemosyne-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": "bunnycore/Mnemosyne-7B", "quantized_by": "mradermacher"} | mradermacher/Mnemosyne-7B-GGUF | null | [
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"en",
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"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-08T14:58:58+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #mergekit #lazymergekit #en #base_model-bunnycore/Mnemosyne-7B #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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question-answering | 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": []} | prash1721/visainterviewquestions | null | [
"transformers",
"safetensors",
"bert",
"question-answering",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-08T15:03:56+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #question-answering #arxiv-1910.09700 #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-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. -->
# llama-160m-sst2
This model is a fine-tuned version of [JackFram/llama-160m](https://huggingface.co/JackFram/llama-160m) on an un... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "JackFram/llama-160m", "model-index": [{"name": "llama-160m-sst2", "results": []}]} | Cheng98/llama-160m-sst2 | null | [
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"llama",
"text-classification",
"generated_from_trainer",
"base_model:JackFram/llama-160m",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-08T15:06:46+00:00 | [] | [] | TAGS
#transformers #pytorch #llama #text-classification #generated_from_trainer #base_model-JackFram/llama-160m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| llama-160m-sst2
===============
This model is a fine-tuned version of JackFram/llama-160m on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6369
* Accuracy: 0.6445
Model description
-----------------
More information needed
Intended uses & limitations
------------------... | [
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translation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# pegasus-translation-en-ro
This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum... | {"tags": ["translation", "generated_from_trainer"], "metrics": ["bleu"], "base_model": "google/pegasus-xsum", "model-index": [{"name": "pegasus-translation-en-ro", "results": []}]} | ancebuc/pegasus-translation-en-ro | null | [
"transformers",
"tensorboard",
"safetensors",
"pegasus",
"text2text-generation",
"translation",
"generated_from_trainer",
"base_model:google/pegasus-xsum",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-08T15:08:40+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #pegasus #text2text-generation #translation #generated_from_trainer #base_model-google/pegasus-xsum #autotrain_compatible #endpoints_compatible #region-us
| pegasus-translation-en-ro
=========================
This model is a fine-tuned version of google/pegasus-xsum on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.3972
* Bleu: 8.4567
* Gen Len: 32.314
Model description
-----------------
More information needed
Intended use... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5.6e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
"### Traini... | [
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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": []} | anony975/mistral_fine_tuned_3.5k | null | [
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"endpoints_compatible",
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #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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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": []} | mohit19906/mistral-7b-SBC-ContextOnly | null | [
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## Model Details
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text-generation | transformers |
# YamshadowInex12_Experiment26Yamshadow
YamshadowInex12_Experiment26Yamshadow is a merge of the following models:
* [automerger/YamshadowInex12-7B](https://huggingface.co/automerger/YamshadowInex12-7B)
* [automerger/Experiment26Yamshadow-7B](https://huggingface.co/automerger/Experiment26Yamshadow-7B)
## 💻 Usage
... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowInex12_Experiment26Yamshadow", "base_model": ["automerger/YamshadowInex12-7B", "automerger/Experiment26Yamshadow-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation",... | MaziyarPanahi/YamshadowInex12_Experiment26Yamshadow | null | [
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"base_model:automerger/Experiment26Yamshadow-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
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|
# YamshadowInex12_Experiment26Yamshadow
YamshadowInex12_Experiment26Yamshadow is a merge of the following models:
* automerger/YamshadowInex12-7B
* automerger/Experiment26Yamshadow-7B
## Usage
| [
"# YamshadowInex12_Experiment26Yamshadow\n\nYamshadowInex12_Experiment26Yamshadow is a merge of the following models:\n* automerger/YamshadowInex12-7B\n* automerger/Experiment26Yamshadow-7B",
"## Usage"
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text-generation | transformers |
# Experiment28M7_YamExperiment28
Experiment28M7_YamExperiment28 is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/YamExperiment28-7B](https://huggingface.co/automerger/YamExperiment28-7B)
## 💻 Usage
```python
!pip install -qU t... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_YamExperiment28", "base_model": ["automerger/Experiment28M7-7B", "automerger/YamExperiment28-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_by... | MaziyarPanahi/Experiment28M7_YamExperiment28 | null | [
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"license:apache-2.0",
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|
# Experiment28M7_YamExperiment28
Experiment28M7_YamExperiment28 is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/YamExperiment28-7B
## Usage
| [
"# Experiment28M7_YamExperiment28\n\nExperiment28M7_YamExperiment28 is a merge of the following models:\n* automerger/Experiment28M7-7B\n* automerger/YamExperiment28-7B",
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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": []} | FeinFein/FeinGemma | null | [
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"endpoints_compatible",
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# NeuralsirkrishnaShadow_Strangemerges_32Inex12
NeuralsirkrishnaShadow_Strangemerges_32Inex12 is a merge of the following models:
* [automerger/NeuralsirkrishnaShadow-7B](https://huggingface.co/automerger/NeuralsirkrishnaShadow-7B)
* [automerger/Strangemerges_32Inex12-7B](https://huggingface.co/automerger/Strangemerg... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "NeuralsirkrishnaShadow_Strangemerges_32Inex12", "base_model": ["automerger/NeuralsirkrishnaShadow-7B", "automerger/Strangemerges_32Inex12-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "t... | MaziyarPanahi/NeuralsirkrishnaShadow_Strangemerges_32Inex12 | null | [
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"text-generation",
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"base_model:automerger/Strangemerges_32Inex12-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-08T15:10:24+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/NeuralsirkrishnaShadow-7B #base_model-automerger/Strangemerges_32Inex12-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# NeuralsirkrishnaShadow_Strangemerges_32Inex12
NeuralsirkrishnaShadow_Strangemerges_32Inex12 is a merge of the following models:
* automerger/NeuralsirkrishnaShadow-7B
* automerger/Strangemerges_32Inex12-7B
## Usage
| [
"# NeuralsirkrishnaShadow_Strangemerges_32Inex12\n\nNeuralsirkrishnaShadow_Strangemerges_32Inex12 is a merge of the following models:\n* automerger/NeuralsirkrishnaShadow-7B\n* automerger/Strangemerges_32Inex12-7B",
"## Usage"
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text-generation | transformers |
# YamshadowStrangemerges_32_Experiment26Strangemerges_32
YamshadowStrangemerges_32_Experiment26Strangemerges_32 is a merge of the following models:
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
* [automerger/Experiment26Strangemerges_32-7B](https://hugging... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowStrangemerges_32_Experiment26Strangemerges_32", "base_model": ["automerger/YamshadowStrangemerges_32-7B", "automerger/Experiment26Strangemerges_32-7B"], "inference": false, "model_creator": "MaziyarPanahi", ... | MaziyarPanahi/YamshadowStrangemerges_32_Experiment26Strangemerges_32 | null | [
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"safetensors",
"mistral",
"text-generation",
"Safetensors",
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"base_model:automerger/Experiment26Strangemerges_32-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-08T15:11:12+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowStrangemerges_32-7B #base_model-automerger/Experiment26Strangemerges_32-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowStrangemerges_32_Experiment26Strangemerges_32
YamshadowStrangemerges_32_Experiment26Strangemerges_32 is a merge of the following models:
* automerger/YamshadowStrangemerges_32-7B
* automerger/Experiment26Strangemerges_32-7B
## Usage
| [
"# YamshadowStrangemerges_32_Experiment26Strangemerges_32\n\nYamshadowStrangemerges_32_Experiment26Strangemerges_32 is a merge of the following models:\n* automerger/YamshadowStrangemerges_32-7B\n* automerger/Experiment26Strangemerges_32-7B",
"## Usage"
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text-generation | transformers |
# M7Yamshadowexperiment28_YamNeuralsirkrishna
M7Yamshadowexperiment28_YamNeuralsirkrishna is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/YamNeuralsirkrishna-7B](https://huggingface.co/automerger/YamNeuralsirkris... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_YamNeuralsirkrishna", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/YamNeuralsirkrishna-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-... | MaziyarPanahi/M7Yamshadowexperiment28_YamNeuralsirkrishna | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/M7Yamshadowexperiment28-7B",
"base_model:automerger/YamNeuralsirkrishna-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-08T15:11:58+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/M7Yamshadowexperiment28-7B #base_model-automerger/YamNeuralsirkrishna-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# M7Yamshadowexperiment28_YamNeuralsirkrishna
M7Yamshadowexperiment28_YamNeuralsirkrishna is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/YamNeuralsirkrishna-7B
## Usage
| [
"# M7Yamshadowexperiment28_YamNeuralsirkrishna\n\nM7Yamshadowexperiment28_YamNeuralsirkrishna is a merge of the following models:\n* automerger/M7Yamshadowexperiment28-7B\n* automerger/YamNeuralsirkrishna-7B",
"## Usage"
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"# M7Yamshadowexperiment28_YamNeuralsirkrishna\n\nM7Y... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | layel2/test-bert | null | [
"transformers",
"safetensors",
"bert",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #bert #feature-extraction #arxiv-1910.09700 #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:
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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. -->
# gemma-ss_cefr-A-0.1
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the gener... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "google/gemma-2b", "model-index": [{"name": "gemma-ss_cefr-A-0.1", "results": []}]} | ghaluh/gemma-ss_cefr-A-0.1 | null | [
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|
# gemma-ss_cefr-A-0.1
This model is a fine-tuned version of google/gemma-2b 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 hyperparameters... | [
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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": []} | OwOpeepeepoopoo/spooderman3 | null | [
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"region:us"
] | null | 2024-04-08T15:16:43+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- License... | [
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text-to-image | diffusers |
# API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "realcartoon-xl-v6"
Coding in PHP/Nod... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/realcartoon-xl-v6 | null | [
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|
# API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "realcartoon-xl-v6"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link: View model
... | [
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image-feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | layel2/dinov2-base | null | [
"transformers",
"safetensors",
"dinov2",
"image-feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-08T15:24:41+00:00 | [
"1910.09700"
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#transformers #safetensors #dinov2 #image-feature-extraction #arxiv-1910.09700 #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]:
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sentence-similarity | sentence-transformers |
# luiz-and-robert-thesis/all-mpnet-base-v2-lr-1e-8-margin-5-epoch-3
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Senten... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | luiz-and-robert-thesis/all-mpnet-base-v2-lr-1e-8-margin-5-epoch-3 | null | [
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|
# luiz-and-robert-thesis/all-mpnet-base-v2-lr-1e-8-margin-5-epoch-3
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 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 ha... | [
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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. -->
# Text-to-image finetuning - izzudd/sdxl-batik-llava
This pipeline was finetuned from **stabilityai/stable-diffusion-xl-b... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers-training", "diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "inference": true} | izzudd/sdxl-batik-llava | null | [
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|
# Text-to-image finetuning - izzudd/sdxl-batik-llava
This pipeline was finetuned from stabilityai/stable-diffusion-xl-base-1.0 on the ../dataset/train/llava dataset. Below are some example images generated with the finetuned pipeline using the following prompt: batik with intricate cloud pattern:
!img_0
!img_1
!... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | selimrecep/ppo-Huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-08T15:26:56+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutorial* wh... | [
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